Triple

T7376885
Position Surface form Disambiguated ID Type / Status
Subject Butuanon language E170147 entity
Predicate spokenIn P2266 FINISHED
Object Butuan City E475186 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: Butuan City | Statement: [Butuanon language, spokenIn, Butuan City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Butuan City
Context triple: [Butuanon language, spokenIn, Butuan City]
  • A. Butuan City chosen
    Butuan City is a highly urbanized and historically significant city in the Caraga region of Mindanao in the Philippines, known as a commercial hub and an important archaeological and cultural center.
  • B. Zao Town
    Zao Town is a rural Japanese town known for its hot springs, ski resorts, and scenic volcanic landscapes in northeastern Honshu.
  • C. Daye City
    Daye City is a county-level city in southeastern Hubei Province, China, known historically for its rich mineral resources and metal mining industry.
  • D. Langdao
    Langdao is a small coastal settlement on Orchid Island, Taiwan, known for its indigenous Tao culture and traditional fishing lifestyle.
  • E. Uji City
    Uji City is a historic city in Kyoto Prefecture, Japan, renowned for its high-quality green tea production and UNESCO-listed Byōdō-in Temple.
  • 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_69c68a5bfaac81909ce7f001dfb70c76 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1a8b18c8190ad1a19521eda2319 completed March 27, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802d15a8481908e43701459607276 completed March 28, 2026, 4:33 p.m.
Created at: March 27, 2026, 3:07 p.m.