Triple

T4122530
Position Surface form Disambiguated ID Type / Status
Subject Cebu Island E92646 entity
Predicate hasMunicipality P847 FINISHED
Object Oslob E261529 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: Oslob | Statement: [Cebu Island, hasMunicipality, Oslob]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oslob
Context triple: [Cebu Island, hasMunicipality, Oslob]
  • A. Oslob chosen
    Oslob is a coastal municipality in southern Cebu, Philippines, best known for its whale shark watching, beaches, and historic heritage sites.
  • B. Stolica
    Stolica is the highest peak of the Slovak Ore Mountains in central Slovakia, known for its forested slopes and scenic hiking routes.
  • C. Barajevo
    Barajevo is a suburban municipality of Belgrade, Serbia, located in the southern part of the city’s administrative area.
  • D. Kraljevica
    Kraljevica is a coastal town in western Croatia known for its historic castles and shipyard on the Adriatic Sea.
  • E. Šolta
    Šolta is a small Croatian island in the Adriatic Sea, known for its tranquil villages, olive groves, and clear bays, located just off the coast from the city of Split.
  • 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_69aed9685f70819086932777aec8d959 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69af020728a08190a50a16b40690cbce completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576b13cc881908fea25c686141546 completed March 14, 2026, 2:54 p.m.
Created at: March 9, 2026, 3:41 p.m.