Triple

T8161821
Position Surface form Disambiguated ID Type / Status
Subject Laguna E190593 entity
Predicate largestCity P235 FINISHED
Object Calamba E199320 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: Calamba | Statement: [Laguna, largestCity, Calamba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calamba
Context triple: [Laguna, largestCity, Calamba]
  • A. Abucay
    Abucay is a coastal municipality in the province of Bataan in the Philippines, known for its historical significance dating back to the Spanish colonial period.
  • B. Galapagar
    Galapagar is a municipality in the Community of Madrid, Spain, known for its natural surroundings in the Sierra de Guadarrama and its role as a residential town near the capital.
  • C. Batangas City
    Batangas City is a major port and industrial hub in the province of Batangas in the Philippines, known for its oil refineries, commercial activity, and role as a gateway to nearby islands.
  • D. Antipolo
    Antipolo is a city in the province of Rizal, Philippines, known as a pilgrimage site and suburban residential area east of Metro Manila.
  • E. Calamba, Laguna chosen
    Calamba, Laguna is a highly urbanized city in the Philippines known as the hometown of national hero José Rizal and a major industrial and commercial hub in the Calabarzon region.
  • 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_69ca82c0ef14819083713f4473dd847c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4556b45c819089eb15ad027b036a completed March 31, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69cea7e73fd481908d3b788a26e62367 completed April 2, 2026, 5:31 p.m.
Created at: March 30, 2026, 5:38 p.m.