Triple

T5001702
Position Surface form Disambiguated ID Type / Status
Subject Wigan Wallgate E112387 entity
Predicate stationCode P1289 FINISHED
Object WGW
WGW is the National Rail station code for Wigan Wallgate railway station in Greater Manchester, England.
 E485947 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: WGW | Statement: [Wigan Wallgate, stationCode, WGW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WGW
Context triple: [Wigan Wallgate, stationCode, WGW]
  • A. GWW
    GWW is the IATA airport code for Gatow Airfield, a former military airfield in Berlin, Germany.
  • B. GWE
    GWE is a Polish vehicle registration code assigned to the Wejherowo County area in the Pomeranian Voivodeship.
  • C. GAW
    GAW is a World Meteorological Organization program that coordinates global observations and analysis of atmospheric composition and related environmental changes.
  • D. WGE
    WGE is the abbreviation for the Working Group on Evaluations and Compliance, a body focused on assessing and ensuring adherence to established standards or agreements.
  • E. WPG
    WPG is the standard three-letter abbreviation used for the NHL’s Winnipeg Jets franchise.
  • 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: WGW
Triple: [Wigan Wallgate, stationCode, WGW]
Generated description
WGW is the National Rail station code for Wigan Wallgate railway station in Greater Manchester, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WGW
Target entity description: WGW is the National Rail station code for Wigan Wallgate railway station in Greater Manchester, England.
  • A. GWW
    GWW is the IATA airport code for Gatow Airfield, a former military airfield in Berlin, Germany.
  • B. GWE
    GWE is a Polish vehicle registration code assigned to the Wejherowo County area in the Pomeranian Voivodeship.
  • C. GAW
    GAW is a World Meteorological Organization program that coordinates global observations and analysis of atmospheric composition and related environmental changes.
  • D. WGE
    WGE is the abbreviation for the Working Group on Evaluations and Compliance, a body focused on assessing and ensuring adherence to established standards or agreements.
  • E. WPG
    WPG is the standard three-letter abbreviation used for the NHL’s Winnipeg Jets franchise.
  • 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_69bd4433d0b08190877e83959ef40d81 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd72bf0de08190a07419514afc3a06 completed March 20, 2026, 4:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be92598ff88190b63a589524180272 completed March 21, 2026, 12:43 p.m.
NEDg Description generation batch_69be9323c5fc819084a4dbf59bab24cd completed March 21, 2026, 12:46 p.m.
NED2 Entity disambiguation (via description) batch_69be93bafdbc8190b7add3fbcc33a317 completed March 21, 2026, 12:48 p.m.
Created at: March 20, 2026, 1:34 p.m.