Triple

T38088710
Position Surface form Disambiguated ID Type / Status
Subject Glen Cannich E951048 entity
Predicate hasWaterBody P165 FINISHED
Object Loch Mullardoch
Loch Mullardoch is a large freshwater reservoir in the Scottish Highlands, known for its remote setting, surrounding Munros, and use in hydroelectric power generation.
 E2293841 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: Loch Mullardoch | Statement: [Glen Cannich, hasWaterBody, Loch Mullardoch]
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: Loch Mullardoch
Triple: [Glen Cannich, hasWaterBody, Loch Mullardoch]
Generated description
Loch Mullardoch is a large freshwater reservoir in the Scottish Highlands, known for its remote setting, surrounding Munros, and use in hydroelectric power generation.

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_69f76f03a3608190a73fd6df87c792a8 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fc4582e85881909858a5b29c5b081d completed May 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a7b14ed3f548190b72216cc9356dab3 completed Aug. 11, 2026, 12:26 p.m.
NEDg Description generation batch_6a7b159d82648190a8aa2f16cdab7b85 completed Aug. 11, 2026, 12:29 p.m.
NED2 Entity disambiguation (via description) batch_6a7b165f5480819086b26641a3ad0cd2 completed Aug. 11, 2026, 12:32 p.m.
Created at: May 3, 2026, 4:21 p.m.