Triple

T16174894
Position Surface form Disambiguated ID Type / Status
Subject Magdalenian E392537 entity
Predicate hasSite P1205 FINISHED
Object Niaux E392536 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: Niaux | Statement: [Magdalenian, hasSite, Niaux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niaux
Context triple: [Magdalenian, hasSite, Niaux]
  • A. Niaux chosen
    Niaux is a commune in southwestern France known for the nearby Grotte de Niaux, a major prehistoric cave with renowned Paleolithic cave paintings.
  • B. Mauguio
    Mauguio is a commune in southern France near Montpellier, known for its proximity to the Mediterranean coast and its role as a local economic and transport hub.
  • C. Quarreux
    Quarreux is a scenic hamlet in the municipality of Stoumont in Belgium’s Ardennes region, known for its picturesque river landscapes and natural surroundings.
  • D. Pisté
    Pisté is a small village in the Mexican state of Yucatán, best known as the main gateway town to the nearby ancient Maya ruins of Chichén Itzá.
  • E. Petitpierre
    Petitpierre is a historical publishing house known for issuing scientific works, including influential 19th-century studies on fossil fishes.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21ebab54c81908d82dd6a26c406c2 completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffefc3e088190975ecbdaeba7ee84 completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 5:02 a.m.