Triple

T15957351
Position Surface form Disambiguated ID Type / Status
Subject ES Tunis E386969 entity
Predicate nickname P55 FINISHED
Object Espérance E1015136 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: Espérance | Statement: [ES Tunis, nickname, Espérance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Espérance
Context triple: [ES Tunis, nickname, Espérance]
  • A. Baie-Mahault
    Baie-Mahault is a major commune on the island of Basse-Terre in Guadeloupe, known as an important industrial and commercial center in the French Caribbean.
  • B. Gouin
    Gouin is a French surname most notably associated with Félix Gouin, a mid-20th-century French socialist politician and former head of government.
  • C. Virage Sud chosen
    Virage Sud is the southern curva/stand in a football stadium, known as the home of passionate ultras and organized supporter groups.
  • D. Guénange
    Guénange is a commune in northeastern France’s Grand Est region, situated in the Moselle department.
  • E. Côte d’Argent
    Côte d’Argent is a long stretch of sandy beaches and dunes along France’s southwestern Atlantic coast, popular for surfing, seaside resorts, and natural coastal landscapes.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156fc6f348190b49c4858281a0904 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe7e76d481909e6f1d1ea33edd60 completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.