Triple

T5655064
Position Surface form Disambiguated ID Type / Status
Subject central Fife E124596 entity
Predicate contains P35 FINISHED
Object Markinch E22708 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: Markinch | Statement: [central Fife, contains, Markinch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Markinch
Context triple: [central Fife, contains, Markinch]
  • A. Markinch chosen
    Markinch is a small historic town in Fife, Scotland, known for its ancient church and role as a local administrative and railway hub.
  • B. Menstrie
    Menstrie is a small village in central Scotland, situated at the foot of the Ochil Hills in Clackmannanshire.
  • C. Kinsealy
    Kinsealy is a suburban locality in north County Dublin, Ireland, known for its residential character and proximity to Swords and Dublin city.
  • D. Tesseney
    Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
  • E. Braitling
    Braitling is an electoral division in the Northern Territory of Australia that includes part of the town of Alice Springs.
  • 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_69c0082774a481909d7e63fb2aad56ac completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022f998688190b18eb6469e8c054f completed March 22, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d9b43288190b6d7c610546b52f2 completed March 22, 2026, 8:14 p.m.
Created at: March 22, 2026, 3:42 p.m.