Triple

T27235320
Position Surface form Disambiguated ID Type / Status
Subject Austin road network E682255 entity
Predicate includes P1393 FINISHED
Object State Highway 45
State Highway 45 is a major toll roadway in the Austin, Texas metropolitan area that forms part of the region’s outer loop and helps alleviate traffic congestion on local freeways.
 E1933385 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: State Highway 45 | Statement: [Austin road network, includes, State Highway 45]
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: State Highway 45
Triple: [Austin road network, includes, State Highway 45]
Generated description
State Highway 45 is a major toll roadway in the Austin, Texas metropolitan area that forms part of the region’s outer loop and helps alleviate traffic congestion on local freeways.

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_69eefacdad7881908b7bca61c90a1a1e completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f6267913848190bbdc065a215cae22 completed May 2, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28bbb2ab8c81909ffbdb6c8ae84c05 completed June 10, 2026, 1:19 a.m.
NEDg Description generation batch_6a28bd207b548190b15cb6bdce0c4c84 completed June 10, 2026, 1:25 a.m.
NED2 Entity disambiguation (via description) batch_6a28bd9d23e48190bcd8bcf57d7d72e8 completed June 10, 2026, 1:27 a.m.
Created at: April 27, 2026, 9:47 a.m.