Triple

T17915899
Position Surface form Disambiguated ID Type / Status
Subject Fer Servadou E447924 entity
Predicate alsoKnownAs P39 FINISHED
Object Mansois 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: Mansois | Statement: [Fer Servadou, alsoKnownAs, Mansois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mansois
Context triple: [Fer Servadou, alsoKnownAs, Mansois]
  • A. Mansois chosen
    Mansois is a local name for the red wine grape variety Fer Servadou, traditionally used in the wines of southwest France.
  • B. Lalumière
    Lalumière is a French surname most notably borne by Catherine Lalumière, a prominent French politician and former European Parliament member.
  • C. Montesson
    Montesson is a suburban commune in the Yvelines department of north-central France, located to the northwest of Paris along the Seine River.
  • D. Mourtemeno
    Mourtemeno is a small Greek island located off the coast of Syvota in the Ionian Sea, known for its clear waters and scenic coves.
  • E. Surpierre
    Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a3062bfc819083f7c0521bad4db8 completed April 19, 2026, 9:40 a.m.
Created at: April 10, 2026, 10:20 a.m.