Triple

T6395624
Position Surface form Disambiguated ID Type / Status
Subject C-5 E143932 entity
Predicate hasStation P35 FINISHED
Object Laguna unclear NED1 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: [C-5, hasStation, Laguna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laguna
Context triple: [C-5, hasStation, Laguna]
  • A. Laguna
    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. 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.
  • D. 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.
  • E. Laguna del Condado
    Laguna del Condado is a coastal lagoon in the Condado district of San Juan, Puerto Rico, known for its calm waters, urban shoreline, and recreational activities like kayaking and paddleboarding.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69c008db906c819096f3597d55d95432 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0688275d0819086b58123c743a6db completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c63897a5408190b6aada0e5c67fe27 completed March 27, 2026, 7:58 a.m.
Created at: March 22, 2026, 4:35 p.m.