Triple

T31292587
Position Surface form Disambiguated ID Type / Status
Subject Nant-y-moch Reservoir E797979 entity
Predicate hasStructure P35 FINISHED
Object Nant-y-moch Dam
Nant-y-moch Dam is a major concrete gravity dam in Ceredigion, Wales, built in the mid-20th century to create the Nant-y-moch Reservoir for hydroelectric power generation and water management.
 E797979 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: Nant-y-moch Dam | Statement: [Nant-y-moch Reservoir, hasStructure, Nant-y-moch Dam]
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: Nant-y-moch Dam
Triple: [Nant-y-moch Reservoir, hasStructure, Nant-y-moch Dam]
Generated description
Nant-y-moch Dam is a major concrete gravity dam in Ceredigion, Wales, built in the mid-20th century to create the Nant-y-moch Reservoir for hydroelectric power generation and water management.

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_69f224dfde288190af313f3c221c857e completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69e2e24c48190b3342bf23c491d9b completed May 3, 2026, 1 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2a7204de348190bd76c13a2558adfb completed June 11, 2026, 8:29 a.m.
NEDg Description generation batch_6a2a72bf3c0c8190825cbabd2097dea6 completed June 11, 2026, 8:33 a.m.
NED2 Entity disambiguation (via description) batch_6a2a95427bf8819087f212d19481feeb completed June 11, 2026, 11 a.m.
Created at: April 29, 2026, 9:14 p.m.