Triple

T18880703
Position Surface form Disambiguated ID Type / Status
Subject Caledonian Road and Barnsbury railway station E461817 entity
Predicate hasStationCode P1289 FINISHED
Object CIH
CIH is the National Rail station code for Caledonian Road and Barnsbury railway station in London, England.
 E1347322 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: CIH | Statement: [Caledonian Road and Barnsbury railway station, hasStationCode, CIH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CIH
Context triple: [Caledonian Road and Barnsbury railway station, hasStationCode, CIH]
  • A. ICH
    ICH is an international body that develops and promotes harmonized guidelines to ensure the safety, quality, and efficacy of pharmaceuticals for human use.
  • B. ICI
    ICI is the primary French-language television brand of Canada's national public broadcaster, Radio-Canada.
  • C. IHCIA
    IHCIA is a key U.S. federal law that permanently authorizes and guides health care services for American Indians and Alaska Natives, primarily through the Indian Health Service.
  • D. CI
    CI is the IATA airline designator for China Airlines, the flag carrier of Taiwan.
  • E. CI
    CI is the commonly used abbreviation for California State University Channel Islands, a public university in Camarillo, California.
  • 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: CIH
Triple: [Caledonian Road and Barnsbury railway station, hasStationCode, CIH]
Generated description
CIH is the National Rail station code for Caledonian Road and Barnsbury railway station in London, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CIH
Target entity description: CIH is the National Rail station code for Caledonian Road and Barnsbury railway station in London, England.
  • A. ICH
    ICH is an international body that develops and promotes harmonized guidelines to ensure the safety, quality, and efficacy of pharmaceuticals for human use.
  • B. ICI
    ICI is the primary French-language television brand of Canada's national public broadcaster, Radio-Canada.
  • C. IHCIA
    IHCIA is a key U.S. federal law that permanently authorizes and guides health care services for American Indians and Alaska Natives, primarily through the Indian Health Service.
  • D. CI
    CI is the IATA airline designator for China Airlines, the flag carrier of Taiwan.
  • E. CI
    CI is the commonly used abbreviation for California State University Channel Islands, a public university in Camarillo, California.
  • 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c3d133f08190a482e601c1866662 completed April 20, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0575c37ed081908e70d965dbea09c8 completed May 14, 2026, 7:12 a.m.
NEDg Description generation batch_6a057697121481909dc6f19aa9549262 completed May 14, 2026, 7:15 a.m.
NED2 Entity disambiguation (via description) batch_6a057761268481908589088ab2f5c2e7 completed May 14, 2026, 7:18 a.m.
Created at: April 10, 2026, 11:57 a.m.