Triple

T15902008
Position Surface form Disambiguated ID Type / Status
Subject Zambal language E385611 entity
Predicate hasDialect P4251 FINISHED
Object Botolan Sambal E336295 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: Botolan Sambal | Statement: [Zambal language, hasDialect, Botolan Sambal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Botolan Sambal
Context triple: [Zambal language, hasDialect, Botolan Sambal]
  • A. Sambal chosen
    Sambal is an Austronesian language spoken by the Sambal people in the Zambales region of the Philippines.
  • B. Balado
    Balado is a small settlement in Kinross-shire, Scotland, best known for its former NATO communications base and as the long-time site of the T in the Park music festival.
  • C. Soppeng
    Soppeng is a historical region and former kingdom in South Sulawesi, Indonesia, known for its Bugis culture and role in regional politics.
  • D. Pongu Lumpia
    Pongu Lumpia is a sweet, cream cheese–filled spring roll snack served at the Pongu Pongu refreshment stand in Disney’s Pandora – The World of Avatar.
  • E. Sarilamak
    Sarilamak is a town in West Sumatra, Indonesia, that serves as the administrative center of Lima Puluh Kota Regency.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563db01081908dd94a2536ef2107 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5a39a348190a4ef6784c54649c2 completed May 9, 2026, 10:30 p.m.
Created at: April 10, 2026, 4:52 a.m.