Triple

T3842010
Position Surface form Disambiguated ID Type / Status
Subject Moselle E93471 entity
Predicate hasMajorCity P316 FINISHED
Object Saint-Avold E251544 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: Saint-Avold | Statement: [Moselle, hasMajorCity, Saint-Avold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint-Avold
Context triple: [Moselle, hasMajorCity, Saint-Avold]
  • A. Saint-Avold chosen
    Saint-Avold is a commune in northeastern France known for its industrial history and the large Lorraine American Cemetery and Memorial from World War II.
  • B. Verviers
    Verviers is a city in eastern Belgium known historically for its textile industry and as a regional center in the province of Liège.
  • C. Pétange
    Pétange is a commune in southwestern Luxembourg known for its proximity to the borders with Belgium and France and its role as a local transport and industrial hub.
  • D. Fauvillers
    Fauvillers is a rural municipality in the province of Luxembourg in Wallonia, Belgium, known for its small villages and countryside landscapes.
  • E. Sarreguemines
    Sarreguemines is a town in northeastern France near the German border, historically known for its ceramics and faience production.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeebb397ac81908f74a42a0eeb8682 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b53fe2a3dc8190bf216d6f43439e58 completed March 14, 2026, 11 a.m.
Created at: March 9, 2026, 3:18 p.m.