Triple

T35486281
Position Surface form Disambiguated ID Type / Status
Subject Saint Twrog E1025604 entity
Predicate associatedWith P37 FINISHED
Object River Dwyryd valley
The River Dwyryd valley is a scenic area in Gwynedd, north-west Wales, known for its historic villages, ancient religious associations, and views toward the Snowdonia mountains and the estuary near Porthmadog.
E2142378 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: River Dwyryd valley | Statement: [Saint Twrog, associatedWith, River Dwyryd valley]
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: River Dwyryd valley
Triple: [Saint Twrog, associatedWith, River Dwyryd valley]
Generated description
The River Dwyryd valley is a scenic area in Gwynedd, north-west Wales, known for its historic villages, ancient religious associations, and views toward the Snowdonia mountains and the estuary near Porthmadog.

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_69f76dfbcdd881908c7b0b6bc502252b completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f796f06450819089f13161e74c2ce3 completed May 3, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3840436b588190b2348d3e9a8dca13 completed June 21, 2026, 7:49 p.m.
NEDg Description generation batch_6a3841fa1a508190ba8db62af4710ec5 completed June 21, 2026, 7:56 p.m.
NED2 Entity disambiguation (via description) batch_6a384270df548190becf7ed2a3f9a140 completed June 21, 2026, 7:58 p.m.
Created at: May 3, 2026, 4:04 p.m.