Triple

T2773166
Position Surface form Disambiguated ID Type / Status
Subject Ilocos Region E61505 entity
Predicate hasMajorCity P316 FINISHED
Object San Fernando, La Union E298231 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: San Fernando, La Union | Statement: [Ilocos Region, hasMajorCity, San Fernando, La Union]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Fernando, La Union
Context triple: [Ilocos Region, hasMajorCity, San Fernando, La Union]
  • A. San Fernando, La Union chosen
    San Fernando, La Union is a coastal city in northern Luzon, Philippines, known as the administrative, commercial, and educational hub of the Ilocos Region.
  • B. San Fernando, Pampanga
    San Fernando, Pampanga is a city in the Philippines historically known as a key staging point during the Bataan Death March in World War II.
  • C. Santa Cruz, Laguna
    Santa Cruz, Laguna is a municipality in the Philippines that serves as the political and administrative center of the province of Laguna.
  • D. Dasmariñas
    Dasmariñas is a rapidly urbanizing city in the province of Cavite in the Philippines, known as a major residential, commercial, and educational hub south of Metro Manila.
  • E. Antipolo
    Antipolo is a city in the province of Rizal, Philippines, known as a pilgrimage site and suburban residential area east of Metro Manila.
  • 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd7e29e08190921fd4ac9d0679ec completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc64c83748190921589bec20dec58 completed March 10, 2026, 7:20 a.m.
Created at: March 6, 2026, 9:57 p.m.