Triple

T11260136
Position Surface form Disambiguated ID Type / Status
Subject Bangor E266539 entity
Predicate hasRailwayStation P918 FINISHED
Object Bangor railway station E334480 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: Bangor railway station | Statement: [Bangor, hasRailwayStation, Bangor railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bangor railway station
Context triple: [Bangor, hasRailwayStation, Bangor railway station]
  • A. Bangor railway station chosen
    Bangor railway station is a key passenger rail hub in the city of Bangor, Gwynedd, providing regional and long-distance services across North Wales and to major UK destinations.
  • B. Bryn station
    Bryn station is a metro station in Oslo, Norway, on the city’s rapid transit network.
  • C. Radnor station
    Radnor station is a SEPTA rapid transit stop in Radnor, Pennsylvania, serving passengers on the Norristown High Speed Line.
  • D. Llanberis station
    Llanberis station is the lower terminus and main departure point of the Snowdon Mountain Railway in Gwynedd, Wales.
  • E. Caernarfon station
    Caernarfon station is the northern terminus and main passenger station of the heritage Welsh Highland Railway in Caernarfon, Wales.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e936cb048190b4d6fb2851ef8932 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ccada158819080e49833e09f84a0 completed April 19, 2026, 12:38 p.m.
Created at: April 8, 2026, 9:31 p.m.