Triple

T12137784
Position Surface form Disambiguated ID Type / Status
Subject Lower Largo E289105 entity
Predicate hasNeighbour P5707 FINISHED
Object Lundin Links E285829 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: Lundin Links | Statement: [Lower Largo, hasNeighbour, Lundin Links]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lundin Links
Context triple: [Lower Largo, hasNeighbour, Lundin Links]
  • A. Lundin Links chosen
    Lundin Links is a small village in Fife, Scotland, known for its historic golf course and standing stones.
  • B. Lundell
    Lundell is a Swedish surname most prominently associated with Ulf Lundell, a well-known rock musician, songwriter, and author.
  • C. Lind
    Lind is a surname of German and Scandinavian origin borne by various notable individuals across fields such as the arts, politics, and academia.
  • D. Lundh
    Lundh is a variant form of the Scandinavian surname Lund, which is associated with families originating from regions such as Sweden and Denmark.
  • E. Lundie
    Lundie is a small rural settlement in Angus, Scotland, situated near the Sidlaw Hills and known for its scenic countryside setting.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158dd00c819082651891898b91bb completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f690ae408190966bb4fe8feaa7d2 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:49 p.m.