Triple

T13458320
Position Surface form Disambiguated ID Type / Status
Subject René Viviani E311291 entity
Predicate placeOfBirth P1 FINISHED
Object Sidi Bel Abbès E882350 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: Sidi Bel Abbès | Statement: [René Viviani, placeOfBirth, Sidi Bel Abbès]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sidi Bel Abbès
Context triple: [René Viviani, placeOfBirth, Sidi Bel Abbès]
  • A. Sidi Bel Abbès chosen
    Sidi Bel Abbès is a city in northwestern Algeria known as a regional economic and cultural center.
  • B. Sidi Bennour
    Sidi Bennour is a town and provincial capital in western Morocco known for its agricultural activities, particularly cereal and sugar beet production.
  • C. Sidi Bou Zid
    Sidi Bou Zid is a town in central Tunisia known both as an agricultural center and as the site of a significant World War II battle.
  • D. Aïn Abid
    Aïn Abid is a town and commune in northeastern Algeria, situated within the Constantine Province.
  • E. Cherchell
    Cherchell is a historic coastal town in northern Algeria, known for its ancient Phoenician and Roman heritage and its role as a cultural center in the 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf0a75008190a508060c85f73604 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7547d4f20819096765e125396e471 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:41 p.m.