Triple

T21490965
Position Surface form Disambiguated ID Type / Status
Subject Tenterden Town railway station E530233 entity
Predicate hasStationCode P1289 FINISHED
Object TTN
TTN is the National Rail station code for Tenterden Town railway station in Kent, England.
 E1488619 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: TTN | Statement: [Tenterden Town railway station, hasStationCode, TTN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TTN
Context triple: [Tenterden Town railway station, hasStationCode, TTN]
  • A. TTN
    TTN is the three-letter IATA airport code for Trenton–Mercer Airport, a regional airport serving the Trenton, New Jersey area.
  • B. TTNQ
    TTNQ is the National Rail station code for Titanic Quarter railway station in Belfast, Northern Ireland.
  • C. Lora
    Lora is a feminine given name, often considered a variant of Laura, used in various cultures.
  • D. Lora
    Lora is a town and union council located in the Abbottabad District of Pakistan’s Khyber Pakhtunkhwa province.
  • E. TT
    TT is a musical project associated with the indie rock band Warpaint, known for exploring more intimate, experimental sounds outside the main group.
  • 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: TTN
Triple: [Tenterden Town railway station, hasStationCode, TTN]
Generated description
TTN is the National Rail station code for Tenterden Town railway station in Kent, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TTN
Target entity description: TTN is the National Rail station code for Tenterden Town railway station in Kent, England.
  • A. TTN
    TTN is the three-letter IATA airport code for Trenton–Mercer Airport, a regional airport serving the Trenton, New Jersey area.
  • B. TTNQ
    TTNQ is the National Rail station code for Titanic Quarter railway station in Belfast, Northern Ireland.
  • C. Lora
    Lora is a feminine given name, often considered a variant of Laura, used in various cultures.
  • D. Lora
    Lora is a town and union council located in the Abbottabad District of Pakistan’s Khyber Pakhtunkhwa province.
  • E. TT
    TT is a musical project associated with the indie rock band Warpaint, known for exploring more intimate, experimental sounds outside the main group.
  • 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_69e0c45bd15481909fba5910765cdda2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea3aee648190ba845f0c7d8110dd completed April 23, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09e81d14a0819086eecdab7b6a14a7 completed May 17, 2026, 4:09 p.m.
NEDg Description generation batch_6a09e92969c881908b865da9d78cc48e completed May 17, 2026, 4:13 p.m.
NED2 Entity disambiguation (via description) batch_6a09e9ad9da08190b222b06c41734994 completed May 17, 2026, 4:15 p.m.
Created at: April 16, 2026, 6:22 p.m.