Triple

T14109628
Position Surface form Disambiguated ID Type / Status
Subject København H E339599 entity
Predicate railwayStationCode P1289 FINISHED
Object KH
KH is the station code for Copenhagen Central Station, the main railway hub in Denmark’s capital city.
E1079509 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: KH | Statement: [København H, railwayStationCode, KH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KH
Context triple: [København H, railwayStationCode, KH]
  • A. KL
    KL is the squadron code historically used to identify No. 54 Squadron of the Royal Air Force on its aircraft and operational records.
  • B. KL
    KL is the two-letter IATA airline code assigned to KLM Royal Dutch Airlines.
  • C. KL
    KL is the official vehicle registration code assigned to the Indian state of Kerala.
  • D. KL
    KL is the abbreviation commonly used for the Royal Netherlands Army, the land forces branch of the Dutch Armed Forces.
  • E. KHST
    KHST is the ICAO airport code for Homestead Air Reserve Base, a United States Air Force installation in Florida.
  • 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: KH
Triple: [København H, railwayStationCode, KH]
Generated description
KH is the station code for Copenhagen Central Station, the main railway hub in Denmark’s capital city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KH
Target entity description: KH is the station code for Copenhagen Central Station, the main railway hub in Denmark’s capital city.
  • A. KL
    KL is the squadron code historically used to identify No. 54 Squadron of the Royal Air Force on its aircraft and operational records.
  • B. KL
    KL is the two-letter IATA airline code assigned to KLM Royal Dutch Airlines.
  • C. KL
    KL is the official vehicle registration code assigned to the Indian state of Kerala.
  • D. KL
    KL is the abbreviation commonly used for the Royal Netherlands Army, the land forces branch of the Dutch Armed Forces.
  • E. KHST
    KHST is the ICAO airport code for Homestead Air Reserve Base, a United States Air Force installation in Florida.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de600caf308190ab6d8451ed4e3797 completed April 14, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0b699108190993f1102418ecff1 completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd2d99c4c8190baf15d470ead7b1c completed May 7, 2026, 5:58 p.m.
NED2 Entity disambiguation (via description) batch_69fcd3853e848190a210d1c8c08bd6cc completed May 7, 2026, 6:01 p.m.
Created at: April 9, 2026, 10:22 p.m.