Triple

T766413
Position Surface form Disambiguated ID Type / Status
Subject Pichi language E16184 entity
Predicate spokenIn P2266 FINISHED
Object Bata E56339 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: Bata | Statement: [Pichi language, spokenIn, Bata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bata
Context triple: [Pichi language, spokenIn, Bata]
  • A. Bata chosen
    Bata is a major port city on the mainland of Equatorial Guinea, serving as a key economic and transportation hub for the country.
  • B. Puma
    Puma is a major German sportswear and athletic footwear brand known for its performance-oriented shoes, apparel, and collaborations with high-profile athletes and designers.
  • C. Dr. Martens
    Dr. Martens is a British footwear and clothing brand best known for its durable leather boots with air-cushioned soles, which have become iconic in various subcultures worldwide.
  • D. Reebok
    Reebok is a global athletic footwear and apparel brand known for its sportswear, fitness-focused products, and collaborations in running, training, and lifestyle markets.
  • E. Adidas
    Adidas is a global sportswear and equipment company known for its iconic three-stripe branding and production of athletic footwear, apparel, and accessories.
  • 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_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a69fb6ac8190bda41852ea01842c completed March 1, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69a666760a4c8190afd00dbfc263be28 completed March 3, 2026, 4:41 a.m.
Created at: March 1, 2026, 7:37 p.m.