Triple

T21501936
Position Surface form Disambiguated ID Type / Status
Subject Quezon Province E530495 entity
Predicate hasMunicipality P847 FINISHED
Object Macalelon 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: Macalelon | Statement: [Quezon Province, hasMunicipality, Macalelon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Macalelon
Context triple: [Quezon Province, hasMunicipality, Macalelon]
  • A. Macalelon chosen
    Macalelon is a coastal municipality in the province of Quezon in the Philippines, known for its agricultural economy and rural seaside communities.
  • B. Marcross
    Marcross is a small coastal village in the Vale of Glamorgan, Wales, known for its rural character and proximity to the Bristol Channel.
  • C. Mainleus
    Mainleus is a municipality in the Bavarian region of Germany, known for its rural character and location within the Upper Franconia area.
  • D. MacClymont
    MacClymont is a Scottish surname associated as a sept with Clan Lamont, a historic Highland clan from Argyll.
  • E. Lesath
    Lesath is a bright blue subgiant star in the constellation Scorpius, forming part of the prominent "stinger" at the tip of the scorpion’s tail.
  • 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_69e0c45bd15481909fba5910765cdda2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea5d209881908754eb07a47e478a completed April 23, 2026, 9:46 a.m.
Created at: April 16, 2026, 6:24 p.m.