Triple

T23061530
Position Surface form Disambiguated ID Type / Status
Subject Inagta Partido E574314 entity
Predicate hasAlternativeName P39 FINISHED
Object Inagta of Partido NE NERFINISHED

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: Inagta of Partido | Statement: [Inagta Partido, hasAlternativeName, Inagta of Partido]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inagta of Partido
Context triple: [Inagta Partido, hasAlternativeName, Inagta of Partido]
  • A. Inagta Partido chosen
    Inagta Partido is an Aeta language of the Philippines spoken by indigenous communities in the Partido region of Camarines Sur, Bicol.
  • B. Barangay Magsaysay
    Barangay Magsaysay is a rural administrative village in the Philippines known for encompassing Mount Manunggal, a notable historical and hiking site.
  • C. Longmatan District
    Longmatan District is an urban administrative district and the central area of Luzhou City in Sichuan Province, China.
  • D. Galyang Municipality
    Galyang Municipality is a local administrative and urban center located in Syangja District of Gandaki Province in central Nepal.
  • E. Lubuagan municipality
    Lubuagan municipality is a rural local government area in the province of Kalinga in the Philippines, known for its indigenous culture and languages.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245ba7ae48190be606dbc54120e39 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1899ff96081908d89a07a3b1065c8 completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.