Triple

T2054322
Position Surface form Disambiguated ID Type / Status
Subject Binisaya E45639 entity
Predicate majorCityWhereSpoken P35609 FINISHED
Object Iligan E100444 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: Iligan | Statement: [Binisaya, majorCityWhereSpoken, Iligan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iligan
Context triple: [Binisaya, majorCityWhereSpoken, Iligan]
  • A. Iligan chosen
    Iligan is a highly urbanized coastal city in the northern part of Mindanao in the Philippines, known for its numerous waterfalls and industrial economy.
  • B. Warri
    Warri is a prominent oil-producing and commercial city in southern Nigeria that serves as a key economic hub of the Niger Delta region.
  • C. Ijaw
    The Ijaw are one of the largest ethnic groups in the Niger Delta region of Nigeria, known for their riverine culture, fishing traditions, and significant role in the country's oil-producing areas.
  • D. Yenagoa
    Yenagoa is the capital city of Bayelsa State in southern Nigeria, located in the oil-rich Niger Delta region.
  • E. Sokoto River
    The Sokoto River is a significant waterway in northwestern Nigeria that drains a large part of the region’s savanna and supports agriculture, fishing, and local transport before joining the Niger River.
  • 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_69a8891a19508190a12ef1e192308dcb completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abbdbfe6188190a32ab023660312bd completed March 7, 2026, 5:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae200eb09881908bbfe47ebb62f55e completed March 9, 2026, 1:19 a.m.
Created at: March 4, 2026, 7:39 p.m.