Triple

T21396677
Position Surface form Disambiguated ID Type / Status
Subject Iranon E527803 entity
Predicate alternativeName P39 FINISHED
Object Illanun 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: Illanun | Statement: [Iranon, alternativeName, Illanun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Illanun
Context triple: [Iranon, alternativeName, Illanun]
  • A. Illanun chosen
    Illanun is an alternative name for the Iranun, a seafaring Austronesian ethnic group from the southern Philippines and parts of Sabah known historically for maritime trade and raiding.
  • B. Ilanon
    Ilanon is an alternate name for the Iranun language, an Austronesian language spoken by the Iranun people of the southern Philippines and parts of Malaysia.
  • C. Landana
    Landana is a coastal town in Angola’s Cabinda exclave, historically known as a regional trading and missionary center.
  • D. Isla
    Isla is a Spanish surname historically associated with figures such as 18th-century naval officer Luis Vicente de Velasco e Isla.
  • E. Arboria
    Arboria is a lush, forested kingdom on the planet Mongo in the Flash Gordon universe, ruled by Prince Barin and known for its treetop cities and dangerous wildlife.
  • 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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b11a2aec8190a60e53b90d0823b1 completed April 22, 2026, 11:29 a.m.
Created at: April 16, 2026, 5:13 p.m.