Triple

T8052904
Position Surface form Disambiguated ID Type / Status
Subject Newton-le-Willows railway station E187717 entity
Predicate hasStationCode P1289 FINISHED
Object NLW
NLW is the National Rail station code for Newton-le-Willows railway station in Merseyside, England.
 E706944 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: NLW | Statement: [Newton-le-Willows railway station, hasStationCode, NLW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NLW
Context triple: [Newton-le-Willows railway station, hasStationCode, NLW]
  • A. NWL
    NWL is the stock ticker symbol for Newell Brands Inc., a consumer goods company known for products under brands like Rubbermaid, Sharpie, and Coleman.
  • B. WNL
    WNL is the National Rail station code for Whinhill railway station in Inverclyde, Scotland.
  • C. LWL
    LWL is the vehicle registration code assigned to the Włodawa area in eastern Poland.
  • D. WE League
    WE League is Japan’s professional women’s football league, established to promote and develop elite women’s soccer in the country.
  • E. NOL
    NOL is the Amtrak station code for New Orleans’ main intercity rail hub, the New Orleans Union Passenger Terminal.
  • 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: NLW
Triple: [Newton-le-Willows railway station, hasStationCode, NLW]
Generated description
NLW is the National Rail station code for Newton-le-Willows railway station in Merseyside, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NLW
Target entity description: NLW is the National Rail station code for Newton-le-Willows railway station in Merseyside, England.
  • A. NWL
    NWL is the stock ticker symbol for Newell Brands Inc., a consumer goods company known for products under brands like Rubbermaid, Sharpie, and Coleman.
  • B. WNL
    WNL is the National Rail station code for Whinhill railway station in Inverclyde, Scotland.
  • C. LWL
    LWL is the vehicle registration code assigned to the Włodawa area in eastern Poland.
  • D. WE League
    WE League is Japan’s professional women’s football league, established to promote and develop elite women’s soccer in the country.
  • E. NOL
    NOL is the Amtrak station code for New Orleans’ main intercity rail hub, the New Orleans Union Passenger Terminal.
  • 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_69ca82b15e948190a62fd7af5218426a completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f7c425c8190aa1b2f534afeb58c completed March 31, 2026, 3:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc572058048190996fa77774bf44ba completed March 31, 2026, 11:22 p.m.
NEDg Description generation batch_69cc58edb31881909b6efd2fbbc2480e completed March 31, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cd22b188190b8a31e8e8ac8b98d completed March 31, 2026, 11:46 p.m.
Created at: March 30, 2026, 5:25 p.m.