Triple

T4535345
Position Surface form Disambiguated ID Type / Status
Subject Ajoie E107394 entity
Predicate contains P35 FINISHED
Object Rocourt E393113 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: Rocourt | Statement: [Ajoie, contains, Rocourt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rocourt
Context triple: [Ajoie, contains, Rocourt]
  • A. Rocourt chosen
    Rocourt is a district of Liège in present-day Belgium, historically notable as the site of the 1746 Battle of Rocoux during the War of the Austrian Succession.
  • B. 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.
  • C. Régnié
    Régnié is a French red wine appellation and one of the ten Beaujolais crus, known for its fruity, aromatic Gamay-based wines.
  • D. Sarreguemines
    Sarreguemines is a town in northeastern France near the German border, historically known for its ceramics and faience production.
  • E. Mondercange
    Mondercange is a commune and small town in southwestern Luxembourg, known for hosting the headquarters and training center of the national football association.
  • 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_69bd43f922788190b7edfa294e39b178 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57b634b08190845d04213cf8d5b9 completed March 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa1681708190ae4dc66e8734e5a1 completed March 21, 2026, 1:53 a.m.
Created at: March 20, 2026, 1:04 p.m.