Triple

T18744938
Position Surface form Disambiguated ID Type / Status
Subject Tawi-Tawi E458384 entity
Predicate hasMunicipality P847 FINISHED
Object Mapun 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: Mapun | Statement: [Tawi-Tawi, hasMunicipality, Mapun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mapun
Context triple: [Tawi-Tawi, hasMunicipality, Mapun]
  • A. Mapun chosen
    Mapun is an Austronesian language spoken primarily by the Mapun people of the southern Philippines, particularly on Mapun (Cagayan de Sulu) Island in the Sulu Sea.
  • B. Mapunapuna
    Mapunapuna is an industrial and commercial neighborhood in Honolulu, Hawaii, known for its warehouses, businesses, and proximity to the Honolulu International Airport.
  • C. Terrasur
    Terrasur is a Chilean intercity passenger rail service operated under the state-owned railway company Empresa de los Ferrocarriles del Estado (EFE).
  • D. Mulk
    Mulk is the name of one of the nineteen months in the Badíʻ (Baháʼí) calendar, associated with the concept of dominion or sovereignty.
  • E. Mapah
    Mapah is Rabbi Moses Isserles’s glosses on the Shulchan Aruch, integrating Ashkenazi customs and rulings into that foundational Jewish legal code.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e57691c8688190b225cbd88493d9d1 completed April 20, 2026, 12:42 a.m.
Created at: April 10, 2026, 11:51 a.m.