Triple

T18938073
Position Surface form Disambiguated ID Type / Status
Subject Wem railway station E463302 entity
Predicate hasStationCode P1289 FINISHED
Object WEM NE NERFINISHED

How this triple was built (2 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: WEM | Statement: [Wem railway station, hasStationCode, WEM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WEM
Context triple: [Wem railway station, hasStationCode, WEM]
  • A. WEM
    WEM is a massive shopping and entertainment complex in Edmonton, Alberta, known as one of the largest malls in North America.
  • B. Wem chosen
    Wem is a small market town and civil parish in the county of Shropshire, England.
  • C. Weme
    Weme is a dialect of the Fon language spoken by communities in parts of Benin and neighboring regions.
  • D. Weem
    Weem is a small village in Perth and Kinross, Scotland, known for its historic church and scenic Highland surroundings.
  • E. WAMM
    WAMM is the ICAO airport code for Sam Ratulangi International Airport serving Manado in North Sulawesi, Indonesia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d3e8fdb48190ae70cb23c5bc2c97 completed April 20, 2026, 7:21 a.m.
Created at: April 10, 2026, 11:59 a.m.