Triple

T18972246
Position Surface form Disambiguated ID Type / Status
Subject Fulham Broadway tube station E464197 entity
Predicate hasStationCode P1289 FINISHED
Object FUM
FUM is the station code for Fulham Broadway, a London Underground station on the District line in the Fulham area of southwest London.
 E1352521 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: FUM | Statement: [Fulham Broadway tube station, hasStationCode, FUM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FUM
Context triple: [Fulham Broadway tube station, hasStationCode, FUM]
  • A. FUM
    FUM is an abbreviation for Ferdowsi University of Mashhad, a major public research university in Mashhad, Iran.
  • B. FUMA
    FUMA is the art museum of Flinders University in South Australia, known for its diverse collections of Australian, Aboriginal, and international art.
  • C. FUK
    FUK is the IATA airport code for Fukuoka Airport, a major international and domestic air hub serving the city of Fukuoka in Japan.
  • D. Fu
    Fu is a Chinese surname borne by various notable historical and contemporary figures across politics, arts, and other fields.
  • E. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • 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: FUM
Triple: [Fulham Broadway tube station, hasStationCode, FUM]
Generated description
FUM is the station code for Fulham Broadway, a London Underground station on the District line in the Fulham area of southwest London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FUM
Target entity description: FUM is the station code for Fulham Broadway, a London Underground station on the District line in the Fulham area of southwest London.
  • A. FUM
    FUM is an abbreviation for Ferdowsi University of Mashhad, a major public research university in Mashhad, Iran.
  • B. FUMA
    FUMA is the art museum of Flinders University in South Australia, known for its diverse collections of Australian, Aboriginal, and international art.
  • C. FUK
    FUK is the IATA airport code for Fukuoka Airport, a major international and domestic air hub serving the city of Fukuoka in Japan.
  • D. Fu
    Fu is a Chinese surname borne by various notable historical and contemporary figures across politics, arts, and other fields.
  • E. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d61cb3ac8190bfe29104166fa090 completed April 20, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05ad3b777c8190af377e88f0534e80 completed May 14, 2026, 11:08 a.m.
NEDg Description generation batch_6a05afeed9188190b7a7ed4ae443dc2d completed May 14, 2026, 11:20 a.m.
NED2 Entity disambiguation (via description) batch_6a05b05c56048190a8a5b5aa4bfc6431 completed May 14, 2026, 11:22 a.m.
Created at: April 10, 2026, noon