Triple

T8079292
Position Surface form Disambiguated ID Type / Status
Subject Quezon E188573 entity
Predicate hasMunicipality P847 FINISHED
Object Candelaria E398208 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: Candelaria | Statement: [Quezon, hasMunicipality, Candelaria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Candelaria
Context triple: [Quezon, hasMunicipality, Candelaria]
  • A. Candelaria
    Candelaria is a coastal town and important pilgrimage center on the island of Tenerife in Spain’s Canary Islands, known for the Basilica of Our Lady of Candelaria.
  • B. Candelaria chosen
    Candelaria is a coastal municipality in the province of Zambales in the Philippines, known for its rural communities and access to the West Philippine Sea.
  • C. Candelaria
    Candelaria is a Mexico City Metro station that serves as an important transfer point between Line 1 and Line 4 near the historic center of the city.
  • D. Candelaria
    Candelaria is a municipality in western Cuba known for its agricultural activities and rural communities within Artemisa Province.
  • E. Candelaria
    Candelaria is a barrio (district) of the municipality of Toa Baja in Puerto Rico, functioning as one of its primary local administrative and residential communities.
  • 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_69ca82b662e88190b9323daab8c28a21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb40a3f01c819096a2c9d5d5199fe6 completed March 31, 2026, 3:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63f79ac08190af49e77bee67921d completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:28 p.m.