Triple

T28970088
Position Surface form Disambiguated ID Type / Status
Subject Paint Creek–Cabin Creek area E734247 entity
Predicate namedAfter P63 FINISHED
Object Cabin Creek
Cabin Creek is a stream in West Virginia known for flowing through historic coal-mining communities and lending its name to the surrounding Paint Creek–Cabin Creek region.
E2293520 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: Cabin Creek | Statement: [Paint Creek–Cabin Creek area, namedAfter, Cabin Creek]
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: Cabin Creek
Triple: [Paint Creek–Cabin Creek area, namedAfter, Cabin Creek]
Generated description
Cabin Creek is a stream in West Virginia known for flowing through historic coal-mining communities and lending its name to the surrounding Paint Creek–Cabin Creek region.

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_69f05b0d1e7c819092baab93d3fe277e completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f65c30c8648190aab1eb36a1618953 completed May 2, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7ab81a1154819082e34df963eed680 completed Aug. 11, 2026, 5:50 a.m.
NEDg Description generation batch_6a7ab8659ec08190b1339e2b9e4a8b1d completed Aug. 11, 2026, 5:51 a.m.
NED2 Entity disambiguation (via description) batch_6a7ab87fccb08190900e3e687a40840f completed Aug. 11, 2026, 5:52 a.m.
Created at: April 28, 2026, 9:05 a.m.