Triple

T10779812
Position Surface form Disambiguated ID Type / Status
Subject Kirkdale railway station E254288 entity
Predicate stationCode P1289 FINISHED
Object KKD
KKD is the National Rail station code for Kirkdale railway station in Liverpool, England.
E886341 NE FINISHED

How this triple was built (4 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: KKD | Statement: [Kirkdale railway station, stationCode, KKD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KKD
Context triple: [Kirkdale railway station, stationCode, KKD]
  • A. KKH
    KKH is the abbreviation for the Karakoram Highway, a major high-altitude road linking Pakistan and China through the Karakoram mountain range.
  • B. KK
    KK is the commonly used abbreviation for Kota Kinabalu, the capital city of Sabah in Malaysian Borneo known for its coastal setting and proximity to Mount Kinabalu.
  • C. KK
    KK is the vehicle registration code used on license plates for the Kežmarok district in Slovakia.
  • D. SKK
    SKK was the ISO 4217 currency code for the Slovak koruna, the former official currency of Slovakia before adoption of the euro.
  • E. KJK
    KJK is the IATA airport code for Koksijde Air Base in Belgium.
  • 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: KKD
Triple: [Kirkdale railway station, stationCode, KKD]
Generated description
KKD is the National Rail station code for Kirkdale railway station in Liverpool, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KKD
Target entity description: KKD is the National Rail station code for Kirkdale railway station in Liverpool, England.
  • A. KKH
    KKH is the abbreviation for the Karakoram Highway, a major high-altitude road linking Pakistan and China through the Karakoram mountain range.
  • B. KK
    KK is the commonly used abbreviation for Kota Kinabalu, the capital city of Sabah in Malaysian Borneo known for its coastal setting and proximity to Mount Kinabalu.
  • C. KK
    KK is the vehicle registration code used on license plates for the Kežmarok district in Slovakia.
  • D. SKK
    SKK was the ISO 4217 currency code for the Slovak koruna, the former official currency of Slovakia before adoption of the euro.
  • E. KJK
    KJK is the IATA airport code for Koksijde Air Base in Belgium.
  • F. None of above. chosen

Provenance (5 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732c384bc81908f503f3a2e0503a4 completed April 9, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69de55e9fe2081909acbfba7a65be18e completed April 14, 2026, 2:57 p.m.
NEDg Description generation batch_69de5eacae148190b7ca2da87427572e completed April 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69de6397ff688190b6788489895a5360 completed April 14, 2026, 3:56 p.m.
Created at: April 8, 2026, 9:17 p.m.