Triple

T27291190
Position Surface form Disambiguated ID Type / Status
Subject Mishnish Lochs E688630 entity
Predicate outflow P967 FINISHED
Object Mishnish River
The Mishnish River is a short watercourse on the Isle of Mull in Scotland that drains the Mishnish Lochs toward the island’s western coast.
E2293275 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: Mishnish River | Statement: [Mishnish Lochs, outflow, Mishnish River]
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: Mishnish River
Triple: [Mishnish Lochs, outflow, Mishnish River]
Generated description
The Mishnish River is a short watercourse on the Isle of Mull in Scotland that drains the Mishnish Lochs toward the island’s western coast.

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_69ef355a96308190a2bed991525fb278 completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f62759cb288190904e0b0531fea34d completed May 2, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7a864468188190a110e1a1cf42462b completed Aug. 11, 2026, 2:17 a.m.
NEDg Description generation batch_6a7a86f560ac8190a7f669fb7ceb084f completed Aug. 11, 2026, 2:20 a.m.
NED2 Entity disambiguation (via description) batch_6a7a874bc39881909272de1372b62ce0 completed Aug. 11, 2026, 2:22 a.m.
Created at: April 27, 2026, 11:15 a.m.