Triple

T13149025
Position Surface form Disambiguated ID Type / Status
Subject Bomaderry railway station E312412 entity
Predicate serves P98 FINISHED
Object Bomaderry E312416 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: Bomaderry | Statement: [Bomaderry railway station, serves, Bomaderry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bomaderry
Context triple: [Bomaderry railway station, serves, Bomaderry]
  • A. Bomaderry chosen
    Bomaderry is a town on the South Coast of New South Wales, Australia, known as a residential and transport hub at the northern end of the Shoalhaven River opposite Nowra.
  • B. Berrima
    Berrima is a historic village in New South Wales, Australia, known for its well-preserved colonial architecture and heritage-listed buildings.
  • C. Carlingford
    Carlingford is a historic coastal town in northeastern Ireland known for its medieval architecture, scenic views of Carlingford Lough, and outdoor activities.
  • D. Mullingar
    Mullingar is a principal town in Ireland known as the administrative and commercial center of County Westmeath.
  • E. Blayney
    Blayney is a rural town in New South Wales, Australia, known for its agricultural surroundings and role as a service centre in the Central Tablelands 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bd0f5b08190ab700c5de1c8e138 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff0c88dc8190bcb83482d6df39b5 completed May 3, 2026, 7:53 a.m.
Created at: April 9, 2026, 9:11 p.m.