Triple

T13478127
Position Surface form Disambiguated ID Type / Status
Subject Noosa River mouth E318300 entity
Predicate connectedTo P37 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: [Noosa River mouth, connectedTo, Laguna Bay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laguna Bay
Context triple: [Noosa River mouth, connectedTo, 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf266c508190930d30776c09ce35 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f746318490819095a5697cc396eb6f completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:42 p.m.