Triple

T5615243
Position Surface form Disambiguated ID Type / Status
Subject Iwak language E147459 entity
Predicate hasAlternativeName P39 FINISHED
Object I’wak Itneg E534729 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: I’wak Itneg | Statement: [Iwak language, hasAlternativeName, I’wak Itneg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: I’wak Itneg
Context triple: [Iwak language, hasAlternativeName, I’wak Itneg]
  • A. I-wak chosen
    I-wak is an Austronesian language spoken by a small indigenous community in the northern Philippines.
  • B. Iwane
    Iwane is a Japanese given name most notably borne by Matsui Iwane, a general of the Imperial Japanese Army during the early 20th century.
  • C. Beni Isguen
    Beni Isguen is a historic fortified town in Algeria renowned for its well-preserved traditional Mozabite architecture and strict social and religious customs.
  • D. Ijigayehu
    Ijigayehu was the mother of Emperor Menelik II of Ethiopia, a key figure in the country's modern history.
  • E. Iwara
    Iwara is a town in southwestern Nigeria associated with the Ijesha people and their cultural and historical heritage.
  • 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_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02123fa9081909086c9cce3f3e907 completed March 22, 2026, 5:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a142ae8c8190a8c4a02bb3f69ff2 completed March 23, 2026, 2:11 a.m.
Created at: March 22, 2026, 3:39 p.m.