Triple

T12827632
Position Surface form Disambiguated ID Type / Status
Subject Narrandera railway station E306697 entity
Predicate servedPlace P3936 FINISHED
Object Narrandera E59545 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: Narrandera | Statement: [Narrandera railway station, servedPlace, Narrandera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Narrandera
Context triple: [Narrandera railway station, servedPlace, Narrandera]
  • A. Narrandera chosen
    Narrandera is a rural town in the Riverina region of New South Wales, Australia, known for its agricultural production and historic riverside setting.
  • B. Menindee
    Menindee is a small town in western New South Wales, Australia, known for its historic river port heritage and proximity to the Menindee Lakes system.
  • C. Merredin
    Merredin is a rural service town in Western Australia known as a key agricultural and transport hub in the state’s Wheatbelt.
  • D. Wilcannia
    Wilcannia is a small, remote town in far western New South Wales, Australia, historically significant as a river port and situated on the Darling River.
  • E. Dongara
    Dongara is a coastal town in Western Australia known for its fishing, beaches, and role as a service centre for the surrounding agricultural 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96fae51608190a50970bd038359a5 completed April 10, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f72e950819082326a8f84a8a260 completed May 3, 2026, 5:01 p.m.
Created at: April 9, 2026, 5:33 p.m.