Triple

T21996459
Position Surface form Disambiguated ID Type / Status
Subject フィリピン・ルソン島 E543217 entity
Predicate 含む都市 P41762 FINISHED
Object ナガ 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: ナガ | Statement: [フィリピン・ルソン島, 含む都市, ナガ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ナガ
Context triple: [フィリピン・ルソン島, 含む都市, ナガ]
  • A. Naga
    The Naga are an indigenous group of culturally and linguistically related tribes living in the hilly border regions of northwestern Myanmar and northeastern India, known for their distinct traditional dress, festivals, and village-based social structures.
  • B. Naga
    Naga is a coastal city and municipality on Cebu Island in the Philippines known for its industrial activities and growing urban development.
  • C. Naga chosen
    Naga is a city in the Bicol Region of the Philippines known as a major religious, cultural, and commercial center, particularly famed for the annual Peñafrancia Festival.
  • D. Naga
    Naga refers to a mythological serpent or dragon-like being found in Hindu and Buddhist traditions, often associated with water, protection, and hidden wisdom.
  • E. Nagai
    Nagai is a city in Yamagata Prefecture, Japan, known for its scenic riverside setting and surrounding mountainous countryside.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12765fb0c81908f7b7acda065ee2f completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:19 p.m.