Triple

T7160807
Position Surface form Disambiguated ID Type / Status
Subject Sambre E166937 entity
Predicate flowsThrough P225 FINISHED
Object Maubeuge E228647 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: Maubeuge | Statement: [Sambre, flowsThrough, Maubeuge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maubeuge
Context triple: [Sambre, flowsThrough, Maubeuge]
  • A. Maubeuge chosen
    Maubeuge is a fortified industrial town in northern France near the Belgian border, historically significant for its strategic military position.
  • B. Bois-le-Duc
    Bois-le-Duc is the French name for ’s-Hertogenbosch, a historic Dutch city known for its medieval architecture and cultural heritage in the southern Netherlands.
  • C. Pont-à-Mousson
    Pont-à-Mousson is a historic town in northeastern France on the Moselle River, known for its medieval heritage and former university.
  • D. Bar-le-Duc
    Bar-le-Duc is a historic town in northeastern France, known as the former capital of the Duchy of Bar and for its Renaissance architecture and traditional mirabelle plum jam.
  • E. Metz
    Metz is a historic city in northeastern France known for its Gothic Saint-Stephen Cathedral, Roman and medieval heritage, and role as the capital of the Moselle department in the Grand Est 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_69c68887a5cc8190bec0ea96227164f7 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e82ce770819081dccf7ffd50c2ab completed March 27, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf84598881908bbe8a18bea18278 completed March 28, 2026, 11:46 a.m.
Created at: March 27, 2026, 2:47 p.m.