Triple

T15138791
Position Surface form Disambiguated ID Type / Status
Subject Mossman region E361626 entity
Predicate hasTown P847 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 region, hasTown, Mossman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mossman
Context triple: [Mossman region, hasTown, 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005b59b488190b0016970647e7483 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfec3ae48190b2d8e853dab00777 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:07 a.m.