Triple

T13237818
Position Surface form Disambiguated ID Type / Status
Subject Mossman State School E315198 entity
Predicate servesCommunity P82 FINISHED
Object Mossman E80134 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: Mossman | Statement: [Mossman State School, servesCommunity, Mossman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mossman
Context triple: [Mossman State School, servesCommunity, Mossman]
  • A. Mossman chosen
    Mossman is a small town in Far North Queensland, Australia, known as a gateway to the Daintree Rainforest and the nearby Mossman Gorge.
  • B. Murgon
    Murgon is a small rural town in Queensland, Australia, known for its agricultural production and proximity to the South Burnett wine region.
  • C. Mangarei
    Mangarei is a small settlement on the island of Mitiaro in the Cook Islands, known for its rural character and proximity to the island’s limestone caves and wetlands.
  • D. Munglinup
    Munglinup is a small rural town in Western Australia known for its farming community and proximity to the south coast.
  • E. Monduli
    Monduli is a town in northern Tanzania that serves as the administrative center of Monduli District in the Arusha 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d56da008190af55da3a9e7ffd4d completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a35ccc88190881a7066b7af8fea completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:23 p.m.