Triple

T27971102
Position Surface form Disambiguated ID Type / Status
Subject Taf Fechan valley E706356 entity
Predicate hasReservoir P1025 FINISHED
Object Pontsticill Reservoir
Pontsticill Reservoir is a large man-made lake in the Brecon Beacons area of South Wales, known for supplying water to the region and for its scenic surroundings that attract walkers and outdoor enthusiasts.
E1892840 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: Pontsticill Reservoir | Statement: [Taf Fechan valley, hasReservoir, Pontsticill Reservoir]
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: Pontsticill Reservoir
Triple: [Taf Fechan valley, hasReservoir, Pontsticill Reservoir]
Generated description
Pontsticill Reservoir is a large man-made lake in the Brecon Beacons area of South Wales, known for supplying water to the region and for its scenic surroundings that attract walkers and outdoor enthusiasts.

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_69ef96b7f330819090f315318ba6977e completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f63b35079c819084779003fe29410d completed May 2, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2713e9c4848190bedfc575e8eeeea0 completed June 8, 2026, 7:11 p.m.
NEDg Description generation batch_6a2714fad8188190bf86af12ee777b53 completed June 8, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_6a27198a097c8190aea66eba80acc1d8 completed June 8, 2026, 7:35 p.m.
Created at: April 27, 2026, 7:38 p.m.