Triple

T7892922
Position Surface form Disambiguated ID Type / Status
Subject Whalley railway station E183279 entity
Predicate hasStationCode P1289 FINISHED
Object WHE
WHE is the National Rail station code for Whalley railway station in Lancashire, England.
 E697359 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: WHE | Statement: [Whalley railway station, hasStationCode, WHE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WHE
Context triple: [Whalley railway station, hasStationCode, WHE]
  • A. WIE
    WIE is the IATA airport code for Wiesbaden Air Base, a military airfield located near Wiesbaden, Germany.
  • B. WHC
    WHC is the commonly used abbreviation for UNESCO’s World Heritage Centre, the body responsible for coordinating the World Heritage Convention and managing the World Heritage List.
  • C. WHD
    WHD is the U.S. Department of Labor’s Wage and Hour Division, the federal agency responsible for enforcing minimum wage, overtime pay, child labor, and other key labor standards.
  • D. WE
    WE is Arcade Fire’s 2022 studio album, a concept-driven indie rock record exploring themes of isolation, connection, and the modern human condition.
  • E. WEM
    WEM is a massive shopping and entertainment complex in Edmonton, Alberta, known as one of the largest malls in North America.
  • 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: WHE
Triple: [Whalley railway station, hasStationCode, WHE]
Generated description
WHE is the National Rail station code for Whalley railway station in Lancashire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WHE
Target entity description: WHE is the National Rail station code for Whalley railway station in Lancashire, England.
  • A. WIE
    WIE is the IATA airport code for Wiesbaden Air Base, a military airfield located near Wiesbaden, Germany.
  • B. WHC
    WHC is the commonly used abbreviation for UNESCO’s World Heritage Centre, the body responsible for coordinating the World Heritage Convention and managing the World Heritage List.
  • C. WHD
    WHD is the U.S. Department of Labor’s Wage and Hour Division, the federal agency responsible for enforcing minimum wage, overtime pay, child labor, and other key labor standards.
  • D. WE
    WE is Arcade Fire’s 2022 studio album, a concept-driven indie rock record exploring themes of isolation, connection, and the modern human condition.
  • E. WEM
    WEM is a massive shopping and entertainment complex in Edmonton, Alberta, known as one of the largest malls in North America.
  • 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_69ca828c474c8190a254d6499871eaff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a008fb88190a039fec40483ab93 completed March 31, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5ba51ee48190b654a931da2c049f completed March 31, 2026, 5:29 a.m.
NEDg Description generation batch_69cb5f1e84fc8190b535016cb69405b4 completed March 31, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69cb76a214488190b90e5db28511daa0 completed March 31, 2026, 7:24 a.m.
Created at: March 30, 2026, 5 p.m.