Triple

T18964618
Position Surface form Disambiguated ID Type / Status
Subject Nantes metropolitan area E464001 entity
Predicate hasSuburb P747 FINISHED
Object Couëron NE NERFINISHED

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: Couëron | Statement: [Nantes metropolitan area, hasSuburb, Couëron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Couëron
Context triple: [Nantes metropolitan area, hasSuburb, Couëron]
  • A. Couëron chosen
    Couëron is a commune in western France situated near Nantes along the Loire River in the Loire-Atlantique department.
  • B. Clermont-Tonnerre
    Clermont-Tonnerre is the name of a prominent French noble family historically associated with politics, the military, and the aristocracy.
  • C. Bourgueil
    Bourgueil is a Loire Valley wine appellation in France renowned for its red wines, particularly those made predominantly from Cabernet Franc.
  • D. Tournus
    Tournus is a historic town in eastern France’s Burgundy region, known for its Romanesque abbey and riverside setting along the Saône.
  • E. Vouziers
    Vouziers is a small commune in northeastern France known for its historical role in World War I and its location in the rural Ardennes region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5d5365881909dcbb4988d273b24 completed April 20, 2026, 7:29 a.m.
Created at: April 10, 2026, noon