Triple

T23749975
Position Surface form Disambiguated ID Type / Status
Subject Shavers Fork E586934 entity
Predicate passesNear P416 FINISHED
Object Bemis, West Virginia
Bemis, West Virginia is a small unincorporated community in Randolph County known for its location in the Monongahela National Forest along the upper reaches of the Cheat River watershed.
E1704524 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: Bemis, West Virginia | Statement: [Shavers Fork, passesNear, Bemis, West Virginia]
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: Bemis, West Virginia
Triple: [Shavers Fork, passesNear, Bemis, West Virginia]
Generated description
Bemis, West Virginia is a small unincorporated community in Randolph County known for its location in the Monongahela National Forest along the upper reaches of the Cheat River watershed.

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_69e2490a0eec81908cdef8a862828d7a completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1bcc118dc8190b0b92e402b9a7dd4 completed April 29, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a110736c87c81908e40da0517fe254a completed May 23, 2026, 1:47 a.m.
NEDg Description generation batch_6a11088874b08190a73c3d17d413e654 completed May 23, 2026, 1:53 a.m.
NED2 Entity disambiguation (via description) batch_6a1108eed51881909371eea3bbecd2f4 completed May 23, 2026, 1:54 a.m.
Created at: April 17, 2026, 7:13 p.m.