Triple

T31581248
Position Surface form Disambiguated ID Type / Status
Subject St Mary’s Church, Betws-y-Coed E805828 entity
Predicate primaryAccess P1302 FINISHED
Object A5 road through Betws-y-Coed
The A5 road through Betws-y-Coed is a major trunk route in North Wales that runs through the village, linking it to other key towns and serving as a primary thoroughfare for local and through traffic.
E1968814 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: A5 road through Betws-y-Coed | Statement: [St Mary’s Church, Betws-y-Coed, primaryAccess, A5 road through Betws-y-Coed]
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: A5 road through Betws-y-Coed
Triple: [St Mary’s Church, Betws-y-Coed, primaryAccess, A5 road through Betws-y-Coed]
Generated description
The A5 road through Betws-y-Coed is a major trunk route in North Wales that runs through the village, linking it to other key towns and serving as a primary thoroughfare for local and through traffic.

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_69f348d3a86c8190a3e5e539a4dd125f completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a80977a88190bd64c02801a72e0b completed May 3, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b564a4f8481909683cf1d439ab90c completed June 12, 2026, 12:43 a.m.
NEDg Description generation batch_6a2b581b44488190bd1bffb5b05e56e3 completed June 12, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_6a2b58de3f5c819098fdc0a6922670a1 completed June 12, 2026, 12:54 a.m.
Created at: April 30, 2026, 10:23 p.m.