Triple

T6762050
Position Surface form Disambiguated ID Type / Status
Subject West Berkeley E154616 entity
Predicate borderedBy P224 FINISHED
Object Gilman Street
Gilman Street is a major east–west thoroughfare in Berkeley, California, known for connecting residential, commercial, and industrial areas and providing access to Interstate 80 and the city’s waterfront.
 E2294328 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: Gilman Street | Statement: [West Berkeley, borderedBy, Gilman 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: Gilman Street
Triple: [West Berkeley, borderedBy, Gilman Street]
Generated description
Gilman Street is a major east–west thoroughfare in Berkeley, California, known for connecting residential, commercial, and industrial areas and providing access to Interstate 80 and the city’s waterfront.

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_69c688109c1c8190added9a221292af0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d21444dc8190a290af86c81e96a5 completed March 27, 2026, 6:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7bd344f1248190ab90d1d2175930e6 completed Aug. 12, 2026, 1:58 a.m.
NEDg Description generation batch_6a7bd3d8b4a8819092d151dd1798d7e4 completed Aug. 12, 2026, 2 a.m.
NED2 Entity disambiguation (via description) batch_6a7bd42fb250819091eb4ec4b8c17217 completed Aug. 12, 2026, 2:02 a.m.
Created at: March 27, 2026, 2:12 p.m.