Triple

T12726907
Position Surface form Disambiguated ID Type / Status
Subject Cowell E304129 entity
Predicate nearestLargeCity P1982 FINISHED
Object Whyalla E304128 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: Whyalla | Statement: [Cowell, nearestLargeCity, Whyalla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whyalla
Context triple: [Cowell, nearestLargeCity, Whyalla]
  • A. Whyalla chosen
    Whyalla is a coastal industrial city in South Australia known for its steelworks, shipbuilding history, and position as a key service and transport hub on the upper Spencer Gulf.
  • B. Wiluna
    Wiluna is a remote outback town in Western Australia known historically as a gold mining center and as a gateway to desert tracks such as the Canning Stock Route.
  • C. Comala
    Comala is the haunting, ghostly Mexican town that serves as the central setting of Juan Rulfo’s novel "Pedro Páramo."
  • D. Dahegam
    Dahegam is a town in the Indian state of Gujarat known for its local commerce and role as a regional hub within the Gandhinagar area.
  • E. Wounaan
    The Wounaan are an Indigenous people of Panama and Colombia known for their rich rainforest-based culture, intricate basketry, and traditional practices closely tied to riverine environments.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96415ebe48190ae935bc3a9b00f65 completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c884bd08190bf0022e8303a4987 completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:25 p.m.