Triple

T13323697
Position Surface form Disambiguated ID Type / Status
Subject Laguna Bay and Noosa River E317380 entity
Predicate hasPart P35 FINISHED
Object Laguna Bay E317376 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 Bay | Statement: [Laguna Bay and Noosa River, hasPart, Laguna Bay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laguna Bay
Context triple: [Laguna Bay and Noosa River, hasPart, Laguna Bay]
  • A. Laguna Bay chosen
    Laguna Bay is a scenic coastal bay at Noosa Heads in Queensland, Australia, known for its calm waters, beaches, and popular swimming and surfing spots.
  • B. 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.
  • C. Laguna
    Laguna is the internal codename Apple used for its early Macintosh Portable computer model.
  • D. Laguna Ten Bosch
    Laguna Ten Bosch is a seaside resort and theme park complex in Japan known for its attractions, shopping, hot springs, and seasonal illumination events.
  • E. 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.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9992c1fec8190bcb6a6bb3c973a24 completed April 11, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f2cd5688190a2a0db0f0295de83 completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:30 p.m.