Triple

T1184763
Position Surface form Disambiguated ID Type / Status
Subject Townsville E25219 entity
Predicate hasLocalGovernmentArea P8215 FINISHED
Object City of Townsville E25219 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: City of Townsville | Statement: [Townsville, hasLocalGovernmentArea, City of Townsville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Townsville
Context triple: [Townsville, hasLocalGovernmentArea, City of Townsville]
  • A. Townsville chosen
    Townsville is a coastal city in northeastern Australia known as a major regional center, gateway to the Great Barrier Reef, and home to a large military presence and tropical climate.
  • B. King’s Town
    King’s Town is the former name of Kingston, the capital and largest city of Jamaica.
  • C. Crescent Town
    Crescent Town is a densely populated, multicultural residential neighbourhood in Toronto, Ontario, known for its high-rise apartment complexes and proximity to public transit.
  • D. Gate City
    Gate City is a commonly used nickname for Greensboro, North Carolina, reflecting its historic role as a major transportation and commercial hub.
  • E. Ochre City
    Ochre City is a popular nickname for Marrakesh, referring to the Moroccan city's distinctive red and ochre-colored buildings and walls.
  • 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_69a49427d98881908646d6c63b8cea1e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd39245881908766c41943dc2752 completed March 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac83146f2881909e230bc9de28a76b completed March 7, 2026, 7:57 p.m.
Created at: March 1, 2026, 7:45 p.m.