Triple

T8063993
Position Surface form Disambiguated ID Type / Status
Subject East Putney tube station E188195 entity
Predicate hasStationCode P1289 FINISHED
Object EPU
EPU is the three-letter station code used by Transport for London to identify East Putney tube station on the London Underground network.
 E709782 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: EPU | Statement: [East Putney tube station, hasStationCode, EPU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EPU
Context triple: [East Putney tube station, hasStationCode, EPU]
  • A. EEPU
    EEPU is the ICAO airport code for the Port of Tallinn’s associated airfield in Estonia.
  • B. EPOP
    EPOP is the ICAO airport code assigned to Opole-Polska Nowa Wieś Airport, a Polish airfield primarily serving sports and general aviation.
  • C. EOP
    EOP is the collective group of offices and agencies that directly support the President of the United States in carrying out executive responsibilities and policy initiatives.
  • D. UEP
    UEP is a leading Polish university in Poznań specializing in economics, business, and management education and research.
  • E. EPI
    EPI is the abbreviation for Exploding Plastic Inevitable, the multimedia performance series created by Andy Warhol that combined live music, film projections, and avant-garde art in the 1960s.
  • 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: EPU
Triple: [East Putney tube station, hasStationCode, EPU]
Generated description
EPU is the three-letter station code used by Transport for London to identify East Putney tube station on the London Underground network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EPU
Target entity description: EPU is the three-letter station code used by Transport for London to identify East Putney tube station on the London Underground network.
  • A. EEPU
    EEPU is the ICAO airport code for the Port of Tallinn’s associated airfield in Estonia.
  • B. EPOP
    EPOP is the ICAO airport code assigned to Opole-Polska Nowa Wieś Airport, a Polish airfield primarily serving sports and general aviation.
  • C. EOP
    EOP is the collective group of offices and agencies that directly support the President of the United States in carrying out executive responsibilities and policy initiatives.
  • D. UEP
    UEP is a leading Polish university in Poznań specializing in economics, business, and management education and research.
  • E. EPI
    EPI is the abbreviation for Exploding Plastic Inevitable, the multimedia performance series created by Andy Warhol that combined live music, film projections, and avant-garde art in the 1960s.
  • 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_69ca82b42674819086840efea12478e5 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3fd07fd08190a3b61cb3369ee6a6 completed March 31, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63de88fc8190ac2c46edca324cec completed April 1, 2026, 12:16 a.m.
NEDg Description generation batch_69cc6544909c819097529c279926e9cd completed April 1, 2026, 12:22 a.m.
NED2 Entity disambiguation (via description) batch_69cc686f343081908f56809d297fdac0 completed April 1, 2026, 12:35 a.m.
Created at: March 30, 2026, 5:26 p.m.