Triple

T7006346
Position Surface form Disambiguated ID Type / Status
Subject Central Fife E162465 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_69c6885928148190ae31909fbb5e9849 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc34b5a88190a793e07dd4d0018b completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a3f5a088190bd0fa2080a8fa648 completed March 28, 2026, 5:42 a.m.
Created at: March 27, 2026, 2:33 p.m.