Triple

T2566595
Position Surface form Disambiguated ID Type / Status
Subject Capiz E57364 entity
Predicate hasMunicipality P847 FINISHED
Object Panay E279151 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: Panay | Statement: [Capiz, hasMunicipality, Panay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panay
Context triple: [Capiz, hasMunicipality, Panay]
  • A. Panay chosen
    Panay is a major island in the Western Visayas region of the Philippines, known for its rich history, agriculture, and proximity to the resort island of Boracay.
  • B. Tambolaka
    Tambolaka is a town on the Indonesian island of Sumba that serves as an important local hub with an airport and access point for exploring the island.
  • C. Appia
    Appia is a surname most notably associated with Louis Appia, a pioneering Swiss surgeon and co-founder of the International Committee of the Red Cross.
  • D. Pénjamo
    Pénjamo is a historic town in the Mexican state of Guanajuato, best known as the birthplace of independence leader Miguel Hidalgo y Costilla.
  • E. Tsakonia
    Tsakonia is a small mountainous region in the eastern Peloponnese of Greece known as the traditional homeland of the Tsakonian-speaking community, whose language descends from ancient Doric Greek.
  • 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_69ab4a4ef9008190a0e6d4422b9418b7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3602ed08190aad0f9c7ac577eb0 completed March 7, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83a9c1988190b311da7b3f6b1413 completed March 10, 2026, 2:36 a.m.
Created at: March 6, 2026, 9:48 p.m.