Triple

T21182302
Position Surface form Disambiguated ID Type / Status
Subject Polmont E521981 entity
Predicate near P350 FINISHED
Object Grangemouth 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: Grangemouth | Statement: [Polmont, near, Grangemouth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grangemouth
Context triple: [Polmont, near, Grangemouth]
  • A. Grangemouth chosen
    Grangemouth is a major Scottish industrial town best known for its large petrochemical complex and one of the UK’s busiest container ports.
  • B. Greenock
    Greenock is a historic port town and former shipbuilding center on the River Clyde in western Scotland.
  • C. Cockenzie
    Cockenzie is a coastal town in East Lothian, Scotland, historically known for its fishing, salt panning, and later its now-demolished coal-fired power station.
  • D. Donside
    Donside is a region in Aberdeenshire, Scotland, centered around the River Don and known for its rural landscapes, historic estates, and traditional Scottish communities.
  • E. Peterhead
    Peterhead is a coastal suburb in Adelaide, South Australia, known for its proximity to the Port River and maritime facilities.
  • 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_69e0b50ef1d48190b063aa342667df22 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7301eb3248190b9f6fc1586651fec completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 3:04 p.m.