Triple

T13662903
Position Surface form Disambiguated ID Type / Status
Subject Sanem E327043 entity
Predicate locatedNear P294 FINISHED
Object Belval E1061595 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: Belval | Statement: [Sanem, locatedNear, Belval]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belval
Context triple: [Sanem, locatedNear, Belval]
  • A. Belval chosen
    Belval is a modern urban district in Esch-sur-Alzette, Luxembourg, known for its transformation from a former steelworks site into a major cultural, educational, and business hub.
  • B. Taradeau
    Taradeau is a small commune in the Var department of southeastern France, known for its Provençal countryside, vineyards, and proximity to the Massif des Maures.
  • C. Noville
    Noville is a small Swiss municipality in the canton of Vaud, situated near the eastern end of Lake Geneva and known for its natural wetlands and rural character.
  • D. Vallette
    Vallette is a district in Turin, Italy, known for hosting the modern Allianz Stadium, home of the Juventus football club.
  • E. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc622a07c81909ef7fb55e719dd9a completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8c8e7988190bcd338bdeba0ae60 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 9:52 p.m.