Triple

T16619997
Position Surface form Disambiguated ID Type / Status
Subject Matemale Lake E403798 entity
Predicate nearbySettlement P350 FINISHED
Object Formiguères E392509 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: Formiguères | Statement: [Matemale Lake, nearbySettlement, Formiguères]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Formiguères
Context triple: [Matemale Lake, nearbySettlement, Formiguères]
  • A. Formiguères chosen
    Formiguères is a small mountain commune in the French Pyrenees, known for its ski resort and scenic alpine surroundings in the Capcir region.
  • B. Chambois
    Chambois is a small town in Normandy, France, best known as a key site of the decisive encirclement and defeat of German forces during the 1944 Falaise Pocket in World War II.
  • C. Fargas
    Fargas is a surname most notably associated with American actor Antonio Fargas, known for his character roles in film and television.
  • D. Bouzy
    Bouzy is a renowned Grand Cru wine-producing village in France’s Champagne region, celebrated for its high-quality Pinot Noir grapes and distinctive sparkling wines.
  • E. Saussignac
    Saussignac is a small wine-producing commune in southwestern France, known for its sweet white wines made primarily from Sémillon and other Bordeaux grape varieties.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754c934c8190a0a8ddd747681aa7 completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007db0b4348190beb573bc3df98125 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.