Triple

T726436
Position Surface form Disambiguated ID Type / Status
Subject Scottish rail network E14734 entity
Predicate connectsCity P4245 FINISHED
Object Falkirk E25093 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: Falkirk | Statement: [Scottish rail network, connectsCity, Falkirk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Falkirk
Context triple: [Scottish rail network, connectsCity, Falkirk]
  • A. Falkirk chosen
    Falkirk is a historic town in central Scotland known for landmarks such as the Falkirk Wheel and the nearby Antonine Wall.
  • B. Dunfermline
    Dunfermline is a historic Scottish town and former royal capital known for its medieval abbey and rich cultural heritage.
  • C. Linlithgow
    Linlithgow is a historic Scottish town in West Lothian, best known for the ruins of Linlithgow Palace, birthplace of Mary, Queen of Scots.
  • D. Dumfries
    Dumfries is a small historic town in Prince William County, Virginia, considered one of the oldest continuously chartered towns in the United States.
  • E. Stirling
    Stirling is a historic Scottish city known for its medieval castle, strategic location, and role in key battles such as Stirling Bridge and Bannockburn.
  • 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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5a9adf08190bf2baade7e2e1c1c completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad717a95848190964e7cf1be92ad67 completed March 8, 2026, 12:54 p.m.
Created at: March 1, 2026, 7:37 p.m.