Triple

T35783791
Position Surface form Disambiguated ID Type / Status
Subject Garth (Bridgend) railway station E1034506 entity
Predicate servesSettlement P2741 FINISHED
Object Garth, Bridgend County Borough
Garth, Bridgend County Borough is a village in South Wales situated within the county borough of Bridgend.
E2154843 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: Garth, Bridgend County Borough | Statement: [Garth (Bridgend) railway station, servesSettlement, Garth, Bridgend County Borough]
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: Garth, Bridgend County Borough
Triple: [Garth (Bridgend) railway station, servesSettlement, Garth, Bridgend County Borough]
Generated description
Garth, Bridgend County Borough is a village in South Wales situated within the county borough of Bridgend.

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_69f76e1575908190aaa306d843b41c14 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a227c0548190947c3a998e79f274 completed May 3, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38860b19ec81908e591fb1ebb252e7 completed June 22, 2026, 12:47 a.m.
NEDg Description generation batch_6a38873747ec8190a68e7f9d69c33de1 completed June 22, 2026, 12:52 a.m.
NED2 Entity disambiguation (via description) batch_6a3887ae2a908190a0a6f2e167dd124e completed June 22, 2026, 12:54 a.m.
Created at: May 3, 2026, 4:06 p.m.