Triple

T27098266
Position Surface form Disambiguated ID Type / Status
Subject Big Sandy River E686367 entity
Predicate hasValley P650 FINISHED
Object Big Sandy Valley
Big Sandy Valley is the geographic valley region carved by the Big Sandy River, characterized by its surrounding terrain and drainage basin.
 E1757848 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: Big Sandy Valley | Statement: [Big Sandy River, hasValley, Big Sandy Valley]
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: Big Sandy Valley
Triple: [Big Sandy River, hasValley, Big Sandy Valley]
Generated description
Big Sandy Valley is the geographic valley region carved by the Big Sandy River, characterized by its surrounding terrain and drainage basin.

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_69ef1489f8b481908e24a1985982bd26 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f623b2b1048190a718869c992aa3c5 completed May 2, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1248070d288190b20c60a10a338ec1 completed May 24, 2026, 12:36 a.m.
NEDg Description generation batch_6a1249e0bae48190b1ccf396b459793f completed May 24, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_6a124ab7e38c8190a1b7157d53c3d858 completed May 24, 2026, 12:47 a.m.
Created at: April 27, 2026, 8:46 a.m.