Triple

T16792612
Position Surface form Disambiguated ID Type / Status
Subject Arganzuela E408147 entity
Predicate containsNeighbourhood P4813 FINISHED
Object Legazpi E533337 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: Legazpi | Statement: [Arganzuela, containsNeighbourhood, Legazpi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Legazpi
Context triple: [Arganzuela, containsNeighbourhood, 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. Lalakay
    Lalakay is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
  • E. Tagoloan
    Tagoloan is a coastal municipality in Misamis Oriental, Philippines, known for its strategic location near Cagayan de Oro and its growing industrial and port activities.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2a7817c8190a53d0cfb5ef66a71 completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab0e1e9c8190bb2ef0825b25f6e5 completed May 10, 2026, 3:58 p.m.
Created at: April 10, 2026, 5:22 a.m.