Triple

T29202779
Position Surface form Disambiguated ID Type / Status
Subject Poteau Mountain Wilderness E740323 entity
Predicate locatedOn P40 FINISHED
Object Poteau Mountain
Poteau Mountain is a prominent forested ridge in western Arkansas and eastern Oklahoma known for its rugged terrain, scenic vistas, and protected wilderness areas.
E1866085 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: Poteau Mountain | Statement: [Poteau Mountain Wilderness, locatedOn, Poteau Mountain]
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: Poteau Mountain
Triple: [Poteau Mountain Wilderness, locatedOn, Poteau Mountain]
Generated description
Poteau Mountain is a prominent forested ridge in western Arkansas and eastern Oklahoma known for its rugged terrain, scenic vistas, and protected wilderness areas.

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_69f07cb974108190b7e86ca489a6ebb6 completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f663c6905c81908c183f248bd3a7aa completed May 2, 2026, 8:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25d8ff365081908c02a1dcee9efc31 completed June 7, 2026, 8:47 p.m.
NEDg Description generation batch_6a25dcffa7b481908d59b0da4dc1fa7c completed June 7, 2026, 9:05 p.m.
NED2 Entity disambiguation (via description) batch_6a25e0dc908c8190a3d1b875d35bee66 completed June 7, 2026, 9:21 p.m.
Created at: April 28, 2026, 12:07 p.m.