Triple

T28288187
Position Surface form Disambiguated ID Type / Status
Subject Taf Fechan Reservoir E713344 entity
Predicate watercourse P415 FINISHED
Object River Taf Fechan
The River Taf Fechan is a river in South Wales that flows through the Brecon Beacons area and supplies water to the Taf Fechan Reservoir before joining the River Taff.
 E1901932 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 Taf Fechan | Statement: [Taf Fechan Reservoir, watercourse, River Taf Fechan]
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 Taf Fechan
Triple: [Taf Fechan Reservoir, watercourse, River Taf Fechan]
Generated description
The River Taf Fechan is a river in South Wales that flows through the Brecon Beacons area and supplies water to the Taf Fechan Reservoir before joining the River Taff.

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_69efb52371d88190a1381c4e58a3b731 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f6448138848190a3effe6fb09e1d8d completed May 2, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a274c83027c819094701c4648b45394 completed June 8, 2026, 11:13 p.m.
NEDg Description generation batch_6a274ddf8d688190b480d115456651c3 completed June 8, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_6a274eb19fd48190a2d38ace0cc22b77 completed June 8, 2026, 11:22 p.m.
Created at: April 27, 2026, 11:27 p.m.