Triple

T14932592
Position Surface form Disambiguated ID Type / Status
Subject Illawarra region E372305 entity
Predicate hasTown P847 FINISHED
Object Thirroul E409670 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: Thirroul | Statement: [Illawarra region, hasTown, Thirroul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thirroul
Context triple: [Illawarra region, hasTown, Thirroul]
  • A. Thirroul chosen
    Thirroul is a coastal suburb and beachside town in the northern Illawarra region of New South Wales, Australia, known for its scenic shoreline and proximity to the Illawarra Escarpment.
  • B. Roquebillière
    Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
  • C. Tabarre
    Tabarre is a commune in the Port-au-Prince metropolitan area of Haiti, known for hosting the main international airport and various government and international offices.
  • D. Muriaux
    Muriaux is a small municipality located in the Franches-Montagnes district of the canton of Jura in northwestern Switzerland.
  • E. Cambern
    Cambern is a surname most notably associated with American film editor Donn Cambern.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded646a0808190ba5c0c91bde011c5 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72c86b5c81909e601a3fc78276bd completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 2:37 a.m.