Triple

T18740362
Position Surface form Disambiguated ID Type / Status
Subject Urola River E458272 entity
Predicate flowsThrough P225 FINISHED
Object Legazpi 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: Legazpi | Statement: [Urola River, flowsThrough, Legazpi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Legazpi
Context triple: [Urola River, flowsThrough, Legazpi]
  • A. Legazpi chosen
    Legazpi is a Madrid Metro station and transport hub located in the Arganzuela district of Madrid, Spain.
  • B. Legazpi
    Legazpi is a coastal city in the Bicol Region of the Philippines known as a regional center and gateway to the iconic Mayon Volcano.
  • C. Lucban
    Lucban is a municipality in the province of Quezon in the Philippines, known for its colorful Pahiyas Festival and production of longganisa and other local delicacies.
  • D. Gorospe
    Gorospe is a Basque surname most notably associated with Spanish former professional cyclist Julián Gorospe.
  • E. Lalakay
    Lalakay is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
  • 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_69e5768d6a208190817abe904fab433b completed April 20, 2026, 12:42 a.m.
Created at: April 10, 2026, 11:51 a.m.