Triple

T26739714
Position Surface form Disambiguated ID Type / Status
Subject Shattuck Avenue E674212 entity
Predicate intersects P1018 FINISHED
Object Center Street
Center Street is a roadway in Berkeley, California, that runs through the downtown area and connects key civic, commercial, and transit destinations.
 E2285647 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: Center Street | Statement: [Shattuck Avenue, intersects, Center 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: Center Street
Triple: [Shattuck Avenue, intersects, Center Street]
Generated description
Center Street is a roadway in Berkeley, California, that runs through the downtown area and connects key civic, commercial, and transit destinations.

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_69eecda63a3881908095c47900692e65 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f6184770d08190b6cb20a1cc91baf0 completed May 2, 2026, 3:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a460a45fe188190b9317542d78e76e8 completed July 2, 2026, 6:50 a.m.
NEDg Description generation batch_6a460b4247548190a5a415c3e5e2c8a8 completed July 2, 2026, 6:54 a.m.
NED2 Entity disambiguation (via description) batch_6a460bb5d4d48190961b690ad460fcf4 completed July 2, 2026, 6:56 a.m.
Created at: April 27, 2026, 3:48 a.m.