Triple

T31843476
Position Surface form Disambiguated ID Type / Status
Subject Vale of Rheidol Railway E812869 entity
Predicate hasDepot P2413 FINISHED
Object Aberystwyth locomotive depot
Aberystwyth locomotive depot is the main engine maintenance and stabling facility for the narrow-gauge Vale of Rheidol Railway in Aberystwyth, Wales.
E1980226 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: Aberystwyth locomotive depot | Statement: [Vale of Rheidol Railway, hasDepot, Aberystwyth locomotive depot]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Aberystwyth locomotive depot
Triple: [Vale of Rheidol Railway, hasDepot, Aberystwyth locomotive depot]
Generated description
Aberystwyth locomotive depot is the main engine maintenance and stabling facility for the narrow-gauge Vale of Rheidol Railway in Aberystwyth, Wales.

Provenance (5 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_69f348eb327881909b4584b925742f6e completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6b034bc74819091250f91ba5174c0 completed May 3, 2026, 2:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2e65acc34c8190af3298fcc631240e completed June 14, 2026, 8:26 a.m.
NEDg Description generation batch_6a2e6811e32481908dedf8ac86f51cae completed June 14, 2026, 8:36 a.m.
NED2 Entity disambiguation (via description) batch_6a2e68c8ce34819092378c1460fe4ef8 completed June 14, 2026, 8:39 a.m.
Created at: April 30, 2026, 11:49 p.m.