Triple

T3338857
Position Surface form Disambiguated ID Type / Status
Subject Nord E70209 entity
Predicate subprefecture P9697 FINISHED
Object Avesnes-sur-Helpe E223524 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: Avesnes-sur-Helpe | Statement: [Nord, subprefecture, Avesnes-sur-Helpe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avesnes-sur-Helpe
Context triple: [Nord, subprefecture, Avesnes-sur-Helpe]
  • A. Avesnes-sur-Helpe chosen
    Avesnes-sur-Helpe is a small historic town in northern France known for its fortified heritage and role as an administrative center in the Nord department.
  • B. Saint-Avold
    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.
  • C. Fauvillers
    Fauvillers is a rural municipality in the province of Luxembourg in Wallonia, Belgium, known for its small villages and countryside landscapes.
  • D. Mondercange
    Mondercange is a commune and small town in southwestern Luxembourg, known for hosting the headquarters and training center of the national football association.
  • E. 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.
  • 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1bd6c7c8190b7229de1433d8d20 completed March 8, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a8ccc408190bae65d2d1a4d77bd completed March 12, 2026, 7:57 p.m.
Created at: March 8, 2026, 3:12 p.m.