Triple

T3853236
Position Surface form Disambiguated ID Type / Status
Subject Lot E85346 entity
Predicate contains P35 FINISHED
Object Gourdon E85345 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: Gourdon | Statement: [Lot, contains, Gourdon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gourdon
Context triple: [Lot, contains, Gourdon]
  • A. Gourdon chosen
    Gourdon is a historic hilltop town in southern France known for its medieval architecture and panoramic views over the surrounding countryside.
  • B. Gourdon
    Gourdon is a small coastal fishing village in eastern Scotland known for its historic harbour and North Sea views.
  • C. Vignoles
    Vignoles is a white wine grape variety known for producing aromatic, high-acid wines often used in late-harvest and dessert styles, particularly in cool-climate regions of the United States.
  • D. Vaux
    Vaux is a surname most notably associated with Calvert Vaux, the 19th-century British-American architect and landscape designer who co-designed New York City's Central Park.
  • E. Cinderford
    Cinderford is a small industrial town in Gloucestershire, England, historically associated with coal mining and situated within the Forest of Dean.
  • 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_69aed936de1c81908f91bed80f70abb2 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec01f7b48190ba1ec89328b3fccb completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51231608c8190bbc5dc990fba1606 completed March 14, 2026, 7:45 a.m.
Created at: March 9, 2026, 3:19 p.m.