Triple

T14172017
Position Surface form Disambiguated ID Type / Status
Subject Masbate Island E351231 entity
Predicate hasMunicipality P847 FINISHED
Object Aroroy E917633 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: Aroroy | Statement: [Masbate Island, hasMunicipality, Aroroy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aroroy
Context triple: [Masbate Island, hasMunicipality, Aroroy]
  • A. Aroroy chosen
    Aroroy is a coastal municipality in the province of Masbate in the Philippines, known historically for its gold mining and fishing industries.
  • B. Aror
    Aror was an ancient city in Sindh, in present-day Pakistan, historically significant as a major political and cultural center of the region.
  • C. Arpora
    Arpora is a village in the Indian state of Goa, known for its popular Saturday Night Market and proximity to major beach destinations like Baga and Calangute.
  • D. Arosi
    Arosi is an Oceanic Austronesian language spoken primarily on Makira Island in the Solomon Islands.
  • E. Orahili
    Orahili is a traditional village on Indonesia’s Nias Island known for its distinctive vernacular architecture and preserved local customs.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b5dcbc8190b0cfcce5e6c6d582 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf808e6088190a607903be0f2adc7 completed May 7, 2026, 8:37 p.m.
Created at: April 10, 2026, 1:01 a.m.