Triple

T69600
Position Surface form Disambiguated ID Type / Status
Subject Dunfermline Queen Margaret railway station E1391 entity
Predicate locatedIn P40 FINISHED
Object Dunfermline E27023 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: Dunfermline | Statement: [Dunfermline Queen Margaret railway station, locatedIn, Dunfermline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dunfermline
Context triple: [Dunfermline Queen Margaret railway station, locatedIn, Dunfermline]
  • A. Dunfermline chosen
    Dunfermline is a historic Scottish town and former royal capital known for its medieval abbey and rich cultural heritage.
  • B. Dumfries
    Dumfries is a small historic town in Prince William County, Virginia, considered one of the oldest continuously chartered towns in the United States.
  • C. Kirkcaldy
    Kirkcaldy is a coastal town on the east coast of Scotland, known historically for its linoleum industry and as one of the largest settlements in Fife.
  • D. Falkirk
    Falkirk is a historic town in central Scotland known for landmarks such as the Falkirk Wheel and the nearby Antonine Wall.
  • E. Cupar
    Cupar is a historic market town in eastern Scotland that once served as the county town of Fife.
  • 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_69a24c06b3bc8190aa4ac89026115efc completed Feb. 28, 2026, 1:59 a.m.
NER Named-entity recognition batch_69a24f045d38819088f5f71e39fa1ee7 completed Feb. 28, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3949ab3e08190ac62002644f514c0 completed March 1, 2026, 1:21 a.m.
Created at: Feb. 28, 2026, 2:03 a.m.