Triple

T22933624
Position Surface form Disambiguated ID Type / Status
Subject Tukang Besi people E569512 entity
Predicate hasEndonym P1435 FINISHED
Object Tukang Besi 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: Tukang Besi | Statement: [Tukang Besi people, hasEndonym, Tukang Besi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tukang Besi
Context triple: [Tukang Besi people, hasEndonym, Tukang Besi]
  • A. Tukang Besi North
    Tukang Besi North is a regional variety of the Tukang Besi language spoken in parts of Southeast Sulawesi, Indonesia.
  • B. Oceláři
    Oceláři is the nickname of HC Oceláři Třinec, a prominent professional ice hockey club based in Třinec, Czech Republic.
  • C. Tukang Besi Kaledupa chosen
    Tukang Besi Kaledupa is an Austronesian language variety spoken on Kaledupa Island in Southeast Sulawesi, Indonesia, as part of the Tukang Besi (Wakatobi) language group.
  • D. Ferreiros
    Ferreiros is a municipality in the state of Pernambuco, Brazil, that forms part of the Recife metropolitan area.
  • E. The Blacksmiths
    "The Blacksmiths" is a 1932 British documentary film by George Dyson that portrays the traditional craft and daily work of blacksmiths.
  • 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181337ff881909d90cf3f5bae7516 completed April 29, 2026, 3:55 a.m.
Created at: April 17, 2026, 3:44 p.m.