Triple

T29397155
Position Surface form Disambiguated ID Type / Status
Subject Sepulveda Pass E745529 entity
Predicate hasNearbyFreewayInterchange P33739 FINISHED
Object I-10 and I-405 interchange
The I-10 and I-405 interchange is a major freeway junction in West Los Angeles that connects two of Southern California’s busiest highways and serves as a critical hub for regional traffic flow.
E1863852 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: I-10 and I-405 interchange | Statement: [Sepulveda Pass, hasNearbyFreewayInterchange, I-10 and I-405 interchange]
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: I-10 and I-405 interchange
Triple: [Sepulveda Pass, hasNearbyFreewayInterchange, I-10 and I-405 interchange]
Generated description
The I-10 and I-405 interchange is a major freeway junction in West Los Angeles that connects two of Southern California’s busiest highways and serves as a critical hub for regional traffic flow.

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_69f0a79dfabc81908755382ee47791e2 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69fe2291236c8190a1e8bdfb6566f877 completed May 8, 2026, 5:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25c119858c8190914c8e9b4bb79cef completed June 7, 2026, 7:06 p.m.
NEDg Description generation batch_6a25c690a1188190879b7119c87c8e65 completed June 7, 2026, 7:29 p.m.
NED2 Entity disambiguation (via description) batch_6a25ca9cb89081908957a3730c7bac18 completed June 7, 2026, 7:46 p.m.
Created at: April 28, 2026, 2:47 p.m.