Triple

T11140398
Position Surface form Disambiguated ID Type / Status
Subject Elm Parish Council E263533 entity
Predicate governsTerritory P10006 FINISHED
Object Elm E48867 NE FINISHED

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: Elm | Statement: [Elm Parish Council, governsTerritory, Elm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elm
Context triple: [Elm Parish Council, governsTerritory, Elm]
  • A. Elm chosen
    Elm is a civil parish and village in Cambridgeshire, England, known for its rural character and historic church.
  • B. Elm
    Elm is a statically typed, functional programming language that compiles to JavaScript and is designed for building reliable, maintainable web front-end applications.
  • C. ELM
    ELM is the commonly used abbreviation for the Estonian Literary Museum, a national research and memory institution dedicated to preserving and studying Estonia’s literary and folkloric heritage.
  • D. ELM
    ELM is the three-letter IATA airport code for Elmira/Corning Regional Airport in New York, United States.
  • E. Maple
    Maple is a comprehensive computer algebra system used for symbolic and numeric mathematics, modeling, and technical computing across education and research.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e860ca408190bea461e115f04fd7 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e463177bfc81908a3e66ffc0777777 completed April 19, 2026, 5:07 a.m.
Created at: April 8, 2026, 9:28 p.m.