Triple

T23656186
Position Surface form Disambiguated ID Type / Status
Subject Transportation in Douglas County, Oregon E584304 entity
Predicate includesHighway P385 FINISHED
Object Oregon Route 429
Oregon Route 429 is a short state highway in Oregon that serves as a local connector route within Douglas County’s road network.
E1628979 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: Oregon Route 429 | Statement: [Transportation in Douglas County, Oregon, includesHighway, Oregon Route 429]
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: Oregon Route 429
Triple: [Transportation in Douglas County, Oregon, includesHighway, Oregon Route 429]
Generated description
Oregon Route 429 is a short state highway in Oregon that serves as a local connector route within Douglas County’s road network.

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_69e248ffc0888190ae23c4731eb8b7ac completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b35c257c81909f7004c0a35be4e3 completed April 29, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fc98db1b4819085bae2a69ba564cc completed May 22, 2026, 3:12 a.m.
NEDg Description generation batch_6a0fcd7ae2248190b4583712c9da0afe completed May 22, 2026, 3:28 a.m.
NED2 Entity disambiguation (via description) batch_6a0fce1270608190810926098b7ffbee completed May 22, 2026, 3:31 a.m.
Created at: April 17, 2026, 6:49 p.m.