Triple

T13088011
Position Surface form Disambiguated ID Type / Status
Subject Bataan E310386 entity
Predicate hasMunicipality P847 FINISHED
Object Orani E317271 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: Orani | Statement: [Bataan, hasMunicipality, Orani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orani
Context triple: [Bataan, hasMunicipality, Orani]
  • A. Orani chosen
    Orani is a coastal municipality in the province of Bataan in the Philippines, known for its fishing industry, agricultural lands, and proximity to Manila Bay.
  • B. Oras
    Oras is a coastal municipality in the province of Eastern Samar in the Philippines, known for its rural communities and Pacific shoreline.
  • C. Ochre City
    Ochre City is a popular nickname for Marrakesh, referring to the Moroccan city's distinctive red and ochre-colored buildings and walls.
  • D. Anagnia
    Anagnia was an ancient city in central Italy that served as the principal urban center of the Hernici people before coming under Roman influence.
  • E. Vincentia
    Vincentia is a coastal town in New South Wales, Australia, known for its white-sand beaches and location on the shores of Jervis Bay.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981378dd08190b4f00e4e5df0e480 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d614704481908758cf8691a941ea completed May 3, 2026, 4:59 a.m.
Created at: April 9, 2026, 9:02 p.m.