Triple

T21612200
Position Surface form Disambiguated ID Type / Status
Subject Arganzuela E533339 entity
Predicate hasNeighbourhood P4813 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: [Arganzuela, hasNeighbourhood, Legazpi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Legazpi
Context triple: [Arganzuela, hasNeighbourhood, Legazpi]
  • A. 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.
  • B. Legazpi chosen
    Legazpi is a Madrid Metro station and transport hub located in the Arganzuela district of Madrid, Spain.
  • 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_69e0c46411108190bba0d4176dffc9f3 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef3ba79424819094e9ee93c4bbcc0b completed April 27, 2026, 10:34 a.m.
Created at: April 16, 2026, 6:33 p.m.