Triple

T15635322
Position Surface form Disambiguated ID Type / Status
Subject Kandos Hospital E375928 entity
Predicate localityServed P104901 FINISHED
Object Kandos E77333 NE FINISHED

How this triple was built (3 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: Kandos | Statement: [Kandos Hospital, localityServed, Kandos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kandos
Context triple: [Kandos Hospital, localityServed, Kandos]
  • A. Kandos chosen
    Kandos is a small town in New South Wales, Australia, historically known for its cement industry and its location near the Capertee Valley and Wollemi National Park.
  • B. Murrumba Downs
    Murrumba Downs is a residential suburb in the northern outskirts of the Brisbane metropolitan area in Queensland, Australia.
  • C. Noarlunga Downs
    Noarlunga Downs is a suburban locality in the southern metropolitan area of Adelaide, South Australia.
  • D. Broulee
    Broulee is a small coastal town in New South Wales, Australia, known for its beaches, surfing, and relaxed holiday atmosphere.
  • E. Gilgandra
    Gilgandra is a rural town in New South Wales, Australia, known as a service and agricultural centre on the western plains.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: localityServed
Context triple: [Kandos Hospital, localityServed, Kandos]
  • A. areaServed
    Indicates the geographic region or jurisdiction within which a service, organization, or activity is provided or applicable.
  • B. nearbyCityServed
    Indicates that a city is geographically close enough to another city to be considered within its service or support area.
  • C. townServed chosen
    Indicates that a given service, facility, or infrastructure serves or provides coverage to a particular town.
  • D. areaServedType
    Indicates the type or category of area that is served by an entity or service.
  • E. cityServedType
    Indicates the type or category of city that is served by a given entity (such as a facility, service, or infrastructure).
  • F. None of above.

Provenance (4 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eb8b4c48190b80fea6877483089 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01232399008190b23dfaec237563ef completed May 11, 2026, 12:30 a.m.
PD Predicate disambiguation batch_69deda868d4481908f4bce1c64d2902a completed April 15, 2026, 12:23 a.m.
Created at: April 10, 2026, 4:14 a.m.