Triple

T2925308
Position Surface form Disambiguated ID Type / Status
Subject Widnes railway station E78828 entity
Predicate stationCode P1289 FINISHED
Object WID
WID is the National Rail station code assigned to Widnes railway station in Cheshire, England.
 E310504 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: WID | Statement: [Widnes railway station, stationCode, WID]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WID
Context triple: [Widnes railway station, stationCode, WID]
  • A. IW
    IW is the common abbreviation for Infinity Ward, a prominent video game developer best known for creating the Call of Duty franchise.
  • B. WÜ
    WÜ is the vehicle registration code for the city and district of Würzburg in the Lower Franconia region of Bavaria, Germany.
  • C. WBD
    WBD is the stock ticker symbol for Warner Bros. Discovery, a major global media and entertainment company.
  • D. W
    W is one of the iconic white capital letters that make up the famous Hollywood Sign overlooking Los Angeles.
  • E. W
    The W is a local New York City Subway service that runs on the BMT Broadway Line in Manhattan and Queens, typically operating on weekdays.
  • 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: WID
Triple: [Widnes railway station, stationCode, WID]
Generated description
WID is the National Rail station code assigned to Widnes railway station in Cheshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WID
Target entity description: WID is the National Rail station code assigned to Widnes railway station in Cheshire, England.
  • A. IW
    IW is the common abbreviation for Infinity Ward, a prominent video game developer best known for creating the Call of Duty franchise.
  • B. WÜ
    WÜ is the vehicle registration code for the city and district of Würzburg in the Lower Franconia region of Bavaria, Germany.
  • C. WBD
    WBD is the stock ticker symbol for Warner Bros. Discovery, a major global media and entertainment company.
  • D. W
    The W is a local New York City Subway service that runs on the BMT Broadway Line in Manhattan and Queens, typically operating on weekdays.
  • E. W
    W is one of the iconic white capital letters that make up the famous Hollywood Sign overlooking Los Angeles.
  • 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad97c086888190ba51ce659a6c4f50 completed March 8, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0563a81788190b94fab34e41a76e7 completed March 10, 2026, 5:34 p.m.
NEDg Description generation batch_69b062a0f74c8190943739f4cda3c614 completed March 10, 2026, 6:27 p.m.
NED2 Entity disambiguation (via description) batch_69b0631e65e88190bd425222c60637db completed March 10, 2026, 6:29 p.m.
Created at: March 8, 2026, 2:55 p.m.