Triple

T6116620
Position Surface form Disambiguated ID Type / Status
Subject Carlisle railway station E136374 entity
Predicate railwayStationCode P1289 FINISHED
Object CAR
CAR is the National Rail station code for Carlisle railway station in Cumbria, England.
 E568896 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: CAR | Statement: [Carlisle railway station, railwayStationCode, CAR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CAR
Context triple: [Carlisle railway station, railwayStationCode, CAR]
  • A. CAR
    CAR is a research center dedicated to advancing the understanding, diagnosis, and treatment of autism spectrum disorders through scientific study and clinical collaboration.
  • B. CAR
    CAR is the standard NHL abbreviation for the Carolina Hurricanes professional ice hockey team.
  • C. CAR
    CAR is the standard three-letter abbreviation used for the NFL team Carolina Panthers.
  • D. CAR
    CAR is the commonly used abbreviation for the Chief of Army Reserve, the senior leader responsible for commanding and overseeing the United States Army Reserve.
  • E. CAR
    CAR is the Cordillera Administrative Region in the Philippines, an upland area in Northern Luzon known for its mountainous terrain and indigenous cultures.
  • 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: CAR
Triple: [Carlisle railway station, railwayStationCode, CAR]
Generated description
CAR is the National Rail station code for Carlisle railway station in Cumbria, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CAR
Target entity description: CAR is the National Rail station code for Carlisle railway station in Cumbria, England.
  • A. CAR
    CAR is a research center dedicated to advancing the understanding, diagnosis, and treatment of autism spectrum disorders through scientific study and clinical collaboration.
  • B. CAR
    CAR is the standard NHL abbreviation for the Carolina Hurricanes professional ice hockey team.
  • C. CAR
    CAR is the standard three-letter abbreviation used for the NFL team Carolina Panthers.
  • D. CAR
    CAR is the commonly used abbreviation for the Chief of Army Reserve, the senior leader responsible for commanding and overseeing the United States Army Reserve.
  • E. CAR
    CAR is the Cordillera Administrative Region in the Philippines, an upland area in Northern Luzon known for its mountainous terrain and indigenous cultures.
  • 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_69c0089ea6f88190b349be53e04b4f5f completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05beb4cfc8190ab67a5338ec59cea completed March 22, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1256ddb38819095f582b6468db407 completed March 23, 2026, 11:35 a.m.
NEDg Description generation batch_69c125ede4f88190989a5a40accd2745 completed March 23, 2026, 11:37 a.m.
NED2 Entity disambiguation (via description) batch_69c1268ffc7481909a9bd2be039dbf45 completed March 23, 2026, 11:40 a.m.
Created at: March 22, 2026, 4:14 p.m.