Triple

T30221318
Position Surface form Disambiguated ID Type / Status
Subject SR 14 E768350 entity
Predicate connectsToBridge P36619 FINISHED
Object Umatilla Bridge
The Umatilla Bridge is a highway bridge spanning the Columbia River between Oregon and Washington, carrying vehicular traffic as part of a key regional transportation route.
E849166 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: Umatilla Bridge | Statement: [SR 14, connectsToBridge, Umatilla Bridge]
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: Umatilla Bridge
Triple: [SR 14, connectsToBridge, Umatilla Bridge]
Generated description
The Umatilla Bridge is a highway bridge spanning the Columbia River between Oregon and Washington, carrying vehicular traffic as part of a key regional transportation route.

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_69f2247fd8b8819087fcf83cb7a05eb8 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fdf64ecae881909b96c82c4e0c46d4 completed May 8, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3551d887f48190b718e6dabd16a1e8 completed June 19, 2026, 2:27 p.m.
NEDg Description generation batch_6a3553aeebc081909d55bb8589c5d40b completed June 19, 2026, 2:35 p.m.
NED2 Entity disambiguation (via description) batch_6a35555f59a481909f18895e896f5a1c completed June 19, 2026, 2:42 p.m.
Created at: April 29, 2026, 7:35 p.m.