Triple

T35468689
Position Surface form Disambiguated ID Type / Status
Subject Teton River (Idaho) E1025149 entity
Predicate flowsNear P350 FINISHED
Object Victor, Idaho
Victor, Idaho is a small town in Teton County near the Wyoming border, known as a gateway to outdoor recreation in the Teton Valley and the nearby Grand Teton and Yellowstone areas.
E2172476 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: Victor, Idaho | Statement: [Teton River (Idaho), flowsNear, Victor, Idaho]
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: Victor, Idaho
Triple: [Teton River (Idaho), flowsNear, Victor, Idaho]
Generated description
Victor, Idaho is a small town in Teton County near the Wyoming border, known as a gateway to outdoor recreation in the Teton Valley and the nearby Grand Teton and Yellowstone 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_69f76dfa20d0819089585dc2cf653aea completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f796ae4d4881908f1eea064916b553 completed May 3, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a390d29cce08190946719f04298df2f completed June 22, 2026, 10:23 a.m.
NEDg Description generation batch_6a390dc2e07c8190a0d3f095f67478b1 completed June 22, 2026, 10:26 a.m.
NED2 Entity disambiguation (via description) batch_6a39109ebb2c8190b1f85279a7506977 completed June 22, 2026, 10:38 a.m.
Created at: May 3, 2026, 4:04 p.m.