Triple

T19031688
Position Surface form Disambiguated ID Type / Status
Subject La Union E465754 entity
Predicate hasMunicipality P847 FINISHED
Object Aringay E956579 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: Aringay | Statement: [La Union, hasMunicipality, Aringay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aringay
Context triple: [La Union, hasMunicipality, Aringay]
  • A. Aringay chosen
    Aringay is a coastal municipality in the province of La Union in the Philippines, known historically as a trading and fishing community.
  • B. Ayungon
    Ayungon is a coastal agricultural municipality located in the province of Negros Oriental in the Central Visayas region of the Philippines.
  • C. Tingloy
    Tingloy is a coastal island municipality in the province of Batangas in the Philippines, known for its beaches, diving spots, and laid-back rural atmosphere.
  • D. Mulambin
    Mulambin is a small coastal locality in Queensland, Australia, known for its quiet beachfront and proximity to other Capricorn Coast communities such as Kinka Beach.
  • E. Sagayan
    Sagayan is a traditional war and healing dance of the Maguindanaon people of the southern Philippines, characterized by colorful costumes, shields, and swords that depict the movements of warriors and spirits.
  • 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d7410dd08190b08a7c0a2b8d67f3 completed April 20, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05be59f0088190ae133c2d12beb2c0 completed May 14, 2026, 12:21 p.m.
Created at: April 10, 2026, 12:02 p.m.