Triple

T24305840
Position Surface form Disambiguated ID Type / Status
Subject East Portland neighborhood area E612531 entity
Predicate traversedBy P225 FINISHED
Object SE Stark Street
SE Stark Street is a major east–west arterial road in Portland, Oregon, running through East Portland neighborhoods and serving as a key commercial and commuter corridor.
 E1627505 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: SE Stark Street | Statement: [East Portland neighborhood area, traversedBy, SE Stark Street]
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: SE Stark Street
Triple: [East Portland neighborhood area, traversedBy, SE Stark Street]
Generated description
SE Stark Street is a major east–west arterial road in Portland, Oregon, running through East Portland neighborhoods and serving as a key commercial and commuter corridor.

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_69e2d7d91bb48190bc5377d17a85fb21 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f2922641bc81908fa3595941e60741 completed April 29, 2026, 11:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fc9d703f08190b8ad09766240615a completed May 22, 2026, 3:13 a.m.
NEDg Description generation batch_6a0fcb81601081908b19b049af450c9f completed May 22, 2026, 3:20 a.m.
NED2 Entity disambiguation (via description) batch_6a0fcc14b8748190bb8d137c57011cce completed May 22, 2026, 3:23 a.m.
Created at: April 18, 2026, 1:30 a.m.