Triple

T15228509
Position Surface form Disambiguated ID Type / Status
Subject General Mariano Alvarez E363937 entity
Predicate hasBorder P224 FINISHED
Object San Pedro, Laguna E434788 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 Pedro, Laguna | Statement: [General Mariano Alvarez, hasBorder, San Pedro, Laguna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Pedro, Laguna
Context triple: [General Mariano Alvarez, hasBorder, San Pedro, Laguna]
  • A. San Pedro, Laguna chosen
    San Pedro, Laguna is a suburban city in the province of Laguna, Philippines, situated just south of Metro Manila along the shores of Laguna de Bay.
  • B. San Pablo, Laguna
    San Pablo, Laguna is a component city in the Philippines known for its scenic seven crater lakes and its role as a commercial and cultural center in the southern part of Laguna province.
  • 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. Los Baños, Laguna
    Los Baños, Laguna is a municipality in the Philippines known for its hot springs, the University of the Philippines Los Baños campus, and its role in World War II history.
  • E. Laguna City
    Laguna City is a large private residential housing estate in Kowloon, Hong Kong, known for its multiple high-rise towers and extensive on-site amenities.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0078ccdf48190b34eabd9e24e45a1 completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c78f36d88190a39f407c5d8dbc0d completed May 10, 2026, 5:59 p.m.
Created at: April 10, 2026, 3:12 a.m.