Triple

T16416625
Position Surface form Disambiguated ID Type / Status
Subject Stirling (South Australia) E398703 entity
Predicate nearbyLocality P4647 FINISHED
Object Crafers E319383 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: Crafers | Statement: [Stirling (South Australia), nearbyLocality, Crafers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crafers
Context triple: [Stirling (South Australia), nearbyLocality, Crafers]
  • A. Crafers chosen
    Crafers is a small township in the Adelaide Hills region of South Australia, known as a gateway to nearby national parks and scenic hill landscapes.
  • B. Blyford
    Blyford is a small rural village located in the English county of Suffolk.
  • C. Kilndown
    Kilndown is a small rural village in Kent, England, known for its historic church and woodland surroundings.
  • D. Brackenfell
    Brackenfell is a residential suburb in the northern part of Cape Town, South Africa, known for its family-friendly neighborhoods and proximity to major transport routes and shopping centers.
  • E. Southrey
    Southrey is a small village in Lincolnshire, England, situated within the civil parish of Bardney.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32877ff248190886717d3329421a7 completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c6ca1bc8190a6c4f675ec8e3a53 completed May 10, 2026, 8:06 a.m.
Created at: April 10, 2026, 5:09 a.m.