Triple

T30827062
Position Surface form Disambiguated ID Type / Status
Subject Chambers Covered Bridge E785099 entity
Predicate builtFor P1261 FINISHED
Object Oregon, Pacific and Eastern Railway
The Oregon, Pacific and Eastern Railway was a short line railroad in Oregon that primarily served the timber industry and local freight operations in the early to mid-20th century.
E1932735 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, Pacific and Eastern Railway | Statement: [Chambers Covered Bridge, builtFor, Oregon, Pacific and Eastern Railway]
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, Pacific and Eastern Railway
Triple: [Chambers Covered Bridge, builtFor, Oregon, Pacific and Eastern Railway]
Generated description
The Oregon, Pacific and Eastern Railway was a short line railroad in Oregon that primarily served the timber industry and local freight operations in the early to mid-20th century.

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_69f224b6642481909e8d701de2cd1a53 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f690f72a188190a10fc7c5d88d803b completed May 3, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28bbebbb1081908cb1e9c60b66de80 completed June 10, 2026, 1:20 a.m.
NEDg Description generation batch_6a28bc580ea08190848e95bff35a2ab0 completed June 10, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_6a28bcf1f5d081908823910cd023c991 completed June 10, 2026, 1:25 a.m.
Created at: April 29, 2026, 8:44 p.m.