Triple

T22941712
Position Surface form Disambiguated ID Type / Status
Subject Jan Antonín Baťa E569747 entity
Predicate residence P75 FINISHED
Object Batatuba E1561575 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: Batatuba | Statement: [Jan Antonín Baťa, residence, Batatuba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batatuba
Context triple: [Jan Antonín Baťa, residence, Batatuba]
  • A. Batatuba chosen
    Batatuba is a planned industrial town in Brazil established in the 1930s as part of Czech entrepreneur Jan Antonín Baťa’s global expansion of the Baťa company.
  • B. Taliabu
    Taliabu is the largest and most prominent island of the Sula Islands group in eastern Indonesia, known for its rugged terrain and tropical forests.
  • C. Negit Island
    Negit Island is a volcanic island in California’s Mono Lake, formed from relatively recent eruptions within the Mono-Inyo Craters volcanic chain.
  • D. Tegua Island
    Tegua Island is a small, remote island in the Torres Islands group of northern Vanuatu, known for its vulnerability to sea-level rise and coastal erosion.
  • E. Batan
    Batan is a coastal municipality in the province of Aklan in the Philippines, known for its agricultural economy and proximity to Capiz.
  • 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_69e24590862c8190858f180ad302adab completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181394fec81909da791bb346dbd0a completed April 29, 2026, 3:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bca125844819089e487003c80b999 completed May 19, 2026, 2:25 a.m.
Created at: April 17, 2026, 3:45 p.m.