Triple

T19720779
Position Surface form Disambiguated ID Type / Status
Subject Rizal E473601 entity
Predicate hasMunicipality P847 FINISHED
Object Angono 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: Angono | Statement: [Rizal, hasMunicipality, Angono]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angono
Context triple: [Rizal, hasMunicipality, Angono]
  • A. Angono chosen
    Angono is a lakeside municipality in the province of Rizal, Philippines, widely recognized as the country's "Art Capital" for its rich artistic heritage and numerous galleries and festivals.
  • B. Orito
    Orito is a municipality and town located in the Putumayo Department of southwestern Colombia, known for its role in regional oil production and its position within the Amazonian foothills.
  • C. Anejima
    Anejima is a small, uninhabited Japanese island that forms part of the remote Mukojima subgroup in the Ogasawara (Bonin) Islands chain.
  • D. Inoniya
    Inoniya is a work by the renowned Russian poet Sergei Yesenin, reflecting his lyrical and often melancholic style rooted in rural life and emotional introspection.
  • E. Ongan
    Ongan is a small language family comprising the indigenous Andamanese languages spoken primarily in the southern Andaman Islands of India.
  • 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e649f483c481908c6b3114bf9c5934 completed April 20, 2026, 3:44 p.m.
Created at: April 10, 2026, 1:46 p.m.