Triple

T12537345
Position Surface form Disambiguated ID Type / Status
Subject Kentford E299730 entity
Predicate hasRailwayStation P918 FINISHED
Object Kennett railway station E715623 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: Kennett railway station | Statement: [Kentford, hasRailwayStation, Kennett railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kennett railway station
Context triple: [Kentford, hasRailwayStation, Kennett railway station]
  • A. Kennett railway station chosen
    Kennett railway station is a small rural railway stop in Suffolk, England, serving the village of Kennett on the regional rail network.
  • B. Bracknell railway station
    Bracknell railway station is the main rail hub serving the town of Bracknell in Berkshire, England, providing regular commuter and regional services.
  • C. Beaconsfield station
    Beaconsfield station is a suburban commuter rail stop serving the town of Beaconsfield, providing regular train connections to nearby urban centers.
  • D. Beaconsfield station
    Beaconsfield station is a railway station that serves the suburb of Beaconsfield in Melbourne, Victoria, as part of the city’s metropolitan train network.
  • E. Beaconsfield station
    Beaconsfield station is a light rail stop on the Massachusetts Bay Transportation Authority’s Green Line D branch serving the Brookline area near Boston.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9546ebf508190ae54857e4289c6e4 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6557a95d48190ac588807544f060f completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:57 p.m.