Triple

T6765166
Position Surface form Disambiguated ID Type / Status
Subject Talagante Province E154699 entity
Predicate hasMunicipality P847 FINISHED
Object Peñaflor E145227 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: Peñaflor | Statement: [Talagante Province, hasMunicipality, Peñaflor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peñaflor
Context triple: [Talagante Province, hasMunicipality, Peñaflor]
  • A. Peñaflor chosen
    Peñaflor is a Chilean town and commune located in the outskirts of Santiago, known for its residential character and green areas.
  • B. Vilaflor
    Vilaflor is a high-altitude village on the island of Tenerife in Spain’s Canary Islands, known for its pine forests, traditional architecture, and proximity to Teide National Park.
  • C. Palau Aguilar
    Palau Aguilar is a historic medieval palace in Barcelona’s Gothic Quarter that serves as the main building of the Picasso Museum.
  • D. Luisita
    Luisita is a Spanish feminine given name, typically used as a diminutive or affectionate form of Luisa.
  • E. Bayan
    Bayan is a traditional Sasak village in northern Lombok, Indonesia, known for its preserved indigenous culture, historic mosques, and role as a gateway to the Mount Rinjani area.
  • 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_69c688109c1c8190added9a221292af0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d22ed30881909e1bfcfb8cf175a2 completed March 27, 2026, 6:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a7b50388190b380f20f0213f0e5 completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:12 p.m.