Triple

T29927326
Position Surface form Disambiguated ID Type / Status
Subject Millcreek station E760116 entity
Predicate isOnNetwork P33235 FINISHED
Object Salt Lake Valley TRAX network
The Salt Lake Valley TRAX network is a light rail transit system serving the greater Salt Lake City metropolitan area in Utah.
 E86503 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: Salt Lake Valley TRAX network | Statement: [Millcreek station, isOnNetwork, Salt Lake Valley TRAX network]
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: Salt Lake Valley TRAX network
Triple: [Millcreek station, isOnNetwork, Salt Lake Valley TRAX network]
Generated description
The Salt Lake Valley TRAX network is a light rail transit system serving the greater Salt Lake City metropolitan area in Utah.

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_69f224631674819080c8d089674f9f4f completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f677cdf7c081908af7be4259c7c615 completed May 2, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a274c9080f081908fe1f2d6900590f4 completed June 8, 2026, 11:13 p.m.
NEDg Description generation batch_6a274da2b4f08190b54ffb23bd8b28dc completed June 8, 2026, 11:17 p.m.
NED2 Entity disambiguation (via description) batch_6a274e7037d48190869592da30780fc0 completed June 8, 2026, 11:21 p.m.
Created at: April 29, 2026, 6:16 p.m.