Triple

T15353387
Position Surface form Disambiguated ID Type / Status
Subject Provence wine region E367109 entity
Predicate hasSubregion P285 FINISHED
Object Cassis E457576 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: Cassis | Statement: [Provence wine region, hasSubregion, Cassis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cassis
Context triple: [Provence wine region, hasSubregion, Cassis]
  • A. Cassis chosen
    Cassis is a picturesque Mediterranean coastal town in southern France, renowned for its dramatic limestone cliffs, calanques, and white and rosé wines.
  • B. Cèze
    The Cèze is a river in southern France known for its scenic gorges, clear waters, and popular swimming and canoeing spots.
  • C. Le Vin
    Le Vin is a section of Charles Baudelaire’s poetry collection Les Fleurs du mal that explores themes of intoxication, escape, and existential despair through the motif of wine.
  • D. Fagerolles
    Fagerolles is a fictional painter in Émile Zola’s novel "L’Œuvre," representing a commercially successful but artistically compromised contrast to the more idealistic artist Mahoudeau.
  • E. Aligoté
    Aligoté is a white grape variety from Burgundy known for producing light, crisp, and high-acid wines often enjoyed young.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e2a8e88819093e4b7479b2c80cd completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01ff42d48190897e6653d2b4f8a4 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:18 a.m.