Triple

T7213660
Position Surface form Disambiguated ID Type / Status
Subject Ibanag language E149471 entity
Predicate hasAlternativeName P39 FINISHED
Object Ybanag E458925 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: Ybanag | Statement: [Ibanag language, hasAlternativeName, Ybanag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ybanag
Context triple: [Ibanag language, hasAlternativeName, Ybanag]
  • A. Ybanag chosen
    Ybanag is an Austronesian language spoken primarily in the Cagayan Valley region of the northern Philippines by the Ibanag people.
  • B. Ibora
    Ibora was an ancient town in Pontus (in modern-day Turkey) known as the birthplace of the influential Christian monk and theologian Evagrius Ponticus.
  • C. Belbali
    Belbali is an alternative name for the Korandje language, a minority Zenati Berber language spoken in the oasis of Tabelbala in southwestern Algeria.
  • D. Aínsa
    Aínsa is a historic medieval town in northeastern Spain, renowned for its well-preserved old quarter and hilltop castle overlooking the Pyrenees.
  • E. Baretoa
    Baretoa is a settlement located on Abemama Atoll in the island nation of Kiribati in the central Pacific Ocean.
  • 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_69c687eca814819095abb52316b1af80 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e98cbebc8190941e76259c988790 completed March 27, 2026, 8:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bfd41a8881909dc94c01f6601b2e completed March 28, 2026, 11:47 a.m.
Created at: March 27, 2026, 2:53 p.m.