Triple

T8738752
Position Surface form Disambiguated ID Type / Status
Subject National Arts Center E207450 entity
Predicate locatedIn P40 FINISHED
Object Laguna E190593 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: Laguna | Statement: [National Arts Center, locatedIn, Laguna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laguna
Context triple: [National Arts Center, locatedIn, Laguna]
  • A. Laguna chosen
    Laguna is a province in the Philippines known for its hot springs, lakeside towns around Laguna de Bay, and as the birthplace of national hero José Rizal.
  • B. Laguna
    Laguna is the internal codename Apple used for its early Macintosh Portable computer model.
  • C. Lagunas
    Lagunas is a municipality and town in the state of Jalisco, Mexico, known for its rural character and proximity to the Sierra de Amula region.
  • D. Laguna San Rafael
    Laguna San Rafael is a glacial lagoon in southern Chile famed for its dramatic icebergs and proximity to the San Rafael Glacier within Laguna San Rafael National Park.
  • E. Laguna Miscanti
    Laguna Miscanti is a high-altitude Andean lake in northern Chile famed for its deep blue waters, surrounding volcanoes, and striking desert landscape.
  • 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_69ca835a03a081909d4d4cd01a18c9fb completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d470c8c81909ead395ef704c6ba completed March 31, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfeafd26f4819092f5adc1ac70148f completed April 3, 2026, 4:29 p.m.
Created at: March 30, 2026, 6:38 p.m.