Triple

T22284327
Position Surface form Disambiguated ID Type / Status
Subject Eastern Min E550817 entity
Predicate hasAlternativeName P39 FINISHED
Object Mindong 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: Mindong | Statement: [Eastern Min, hasAlternativeName, Mindong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mindong
Context triple: [Eastern Min, hasAlternativeName, Mindong]
  • A. Mindong chosen
    Mindong is an alternative name for the city of Ningde in Fujian Province, China, often used in regional and historical contexts.
  • B. Balingasag
    Balingasag is a coastal municipality in Misamis Oriental, Philippines, known for its fishing communities and access to Macajalar Bay.
  • C. Tinglayan
    Tinglayan is a rural municipality in the Philippine province of Kalinga, known for its mountainous terrain, traditional Kalinga culture, and rice terraces.
  • D. Tinigao
    Tinigao is a barangay (village-level administrative division) within the municipality of Kalibo in the province of Aklan, Philippines.
  • E. Batiawan
    Batiawan is a rural barangay (village-level administrative unit) of the municipality of Santa Ignacia in the province of Tarlac, Philippines.
  • 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_69e11e44d538819097c6b8f333af3352 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15605a8448190906a0ab9ffa4260b completed April 29, 2026, 12:51 a.m.
Created at: April 16, 2026, 8:40 p.m.