Triple

T22941709
Position Surface form Disambiguated ID Type / Status
Subject Jan Antonín Baťa E569747 entity
Predicate founded P104 FINISHED
Object Batayporã
Batayporã is a Brazilian municipality in Mato Grosso do Sul, originally established as a planned company town linked to the Baťa shoe enterprise.
E1561579 NE FINISHED

How this triple was built (4 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: Batayporã | Statement: [Jan Antonín Baťa, founded, Batayporã]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batayporã
Context triple: [Jan Antonín Baťa, founded, Batayporã]
  • A. Baitoa
    Baitoa is a rural municipal district in the Dominican Republic’s Santiago Province, known for its agricultural activities and scenic mountainous surroundings.
  • B. Tanguá
    Tanguá is a small municipality in the state of Rio de Janeiro, Brazil, known for its rural character and integration into the greater Rio de Janeiro metropolitan area.
  • C. Putijarra
    Putijarra is an Australian Aboriginal language traditionally spoken by the Martu people of the Western Desert region.
  • D. Jairambati
    Jairambati is a village in present-day West Bengal, India, best known as the birthplace of Sarada Devi, the spiritual consort of Sri Ramakrishna.
  • E. Butaro
    Butaro is a rural area in northern Rwanda known for its innovative, community-focused district hospital and scenic hilly landscape.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Batayporã
Triple: [Jan Antonín Baťa, founded, Batayporã]
Generated description
Batayporã is a Brazilian municipality in Mato Grosso do Sul, originally established as a planned company town linked to the Baťa shoe enterprise.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Batayporã
Target entity description: Batayporã is a Brazilian municipality in Mato Grosso do Sul, originally established as a planned company town linked to the Baťa shoe enterprise.
  • A. Baitoa
    Baitoa is a rural municipal district in the Dominican Republic’s Santiago Province, known for its agricultural activities and scenic mountainous surroundings.
  • B. Tanguá
    Tanguá is a small municipality in the state of Rio de Janeiro, Brazil, known for its rural character and integration into the greater Rio de Janeiro metropolitan area.
  • C. Putijarra
    Putijarra is an Australian Aboriginal language traditionally spoken by the Martu people of the Western Desert region.
  • D. Jairambati
    Jairambati is a village in present-day West Bengal, India, best known as the birthplace of Sarada Devi, the spiritual consort of Sri Ramakrishna.
  • E. Butaro
    Butaro is a rural area in northern Rwanda known for its innovative, community-focused district hospital and scenic hilly landscape.
  • F. None of above. chosen

Provenance (5 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_6a0bc25492ec81908e8366efa8109791 completed May 19, 2026, 1:52 a.m.
NEDg Description generation batch_6a0bc2fa53788190bfedeb5bcbfd0876 completed May 19, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_6a0bc3c11ebc8190995c0025a594d40a completed May 19, 2026, 1:58 a.m.
Created at: April 17, 2026, 3:45 p.m.