Triple

T10815246
Position Surface form Disambiguated ID Type / Status
Subject Ardwick railway depot E255210 entity
Predicate depotCode P1289 FINISHED
Object AK
AK is the depot code used to identify Ardwick railway depot within the UK rail network.
E887576 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: AK | Statement: [Ardwick railway depot, depotCode, AK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AK
Context triple: [Ardwick railway depot, depotCode, AK]
  • A. AK
    AK is the Polish abbreviation for the Home Army, the principal resistance movement in German-occupied Poland during World War II.
  • B. KA
    KA is a postcode area in the United Kingdom covering parts of southwest Scotland, including towns such as Kilmarnock and Irvine.
  • C. KA
    KA is the vehicle registration code used on license plates for cars registered in the German city of Karlsruhe.
  • D. Ka
    Ka was an early ancient Egyptian king of the First Dynasty period, known from tomb inscriptions at Abydos and considered one of the first rulers to use a royal serekh.
  • E. Ka
    Ka is the introspective poet and protagonist of Orhan Pamuk’s novel "Snow," whose return to Turkey and entanglement in political and personal conflicts drive the story’s exploration of faith, identity, and modernity.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: AK
Triple: [Ardwick railway depot, depotCode, AK]
Generated description
AK is the depot code used to identify Ardwick railway depot within the UK rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AK
Target entity description: AK is the depot code used to identify Ardwick railway depot within the UK rail network.
  • A. AK
    AK is the Polish abbreviation for the Home Army, the principal resistance movement in German-occupied Poland during World War II.
  • B. KA
    KA is a postcode area in the United Kingdom covering parts of southwest Scotland, including towns such as Kilmarnock and Irvine.
  • C. KA
    KA is the vehicle registration code used on license plates for cars registered in the German city of Karlsruhe.
  • D. Ka
    Ka is the introspective poet and protagonist of Orhan Pamuk’s novel "Snow," whose return to Turkey and entanglement in political and personal conflicts drive the story’s exploration of faith, identity, and modernity.
  • E. Ka
    Ka was an early ancient Egyptian king of the First Dynasty period, known from tomb inscriptions at Abydos and considered one of the first rulers to use a royal serekh.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: depotCode
Context triple: [Ardwick railway depot, depotCode, AK]
  • A. depot
    Indicates that an entity serves as a storage or distribution center location for another entity, such as goods, vehicles, or resources.
  • B. depotFor
    Indicates that one entity serves as a storage or distribution center location dedicated to supporting or supplying another entity.
  • C. formerStationCode
    Indicates that an entity previously had a specific station code that is no longer in current use.
  • D. hasStationCode chosen
    Indicates that an entity is associated with a specific station identification code.
  • E. isTransportationHubCodeFor
    Indicates that a given code uniquely identifies and represents a specific transportation hub, such as a station, airport, or terminal.
  • F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733ece4488190b553a66c4b5188bc completed April 9, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69de8546b41081909e13152c4df2eb1c completed April 14, 2026, 6:19 p.m.
NEDg Description generation batch_69de8955b9d8819086ff98efbff6c7a0 completed April 14, 2026, 6:37 p.m.
NED2 Entity disambiguation (via description) batch_69de8f4a318c819086559fd53506ab29 completed April 14, 2026, 7:02 p.m.
PD Predicate disambiguation batch_69d70d1bf3648190b36fa96ea018e0dc completed April 9, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:18 p.m.