Triple

T27322654
Position Surface form Disambiguated ID Type / Status
Subject California State Route 55 E689551 entity
Predicate abbreviation P43 FINISHED
Object SR 55
SR 55 is a major north–south freeway and highway in Orange County, California, connecting Costa Mesa near the Pacific Coast to the Riverside Freeway (SR 91) and serving as a key commuter and regional traffic corridor.
E1776996 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: SR 55 | Statement: [California State Route 55, abbreviation, SR 55]
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: SR 55
Triple: [California State Route 55, abbreviation, SR 55]
Generated description
SR 55 is a major north–south freeway and highway in Orange County, California, connecting Costa Mesa near the Pacific Coast to the Riverside Freeway (SR 91) and serving as a key commuter and regional traffic 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_69ef355d4cb08190ab032c0a2e7d3753 completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f627eb7f088190bdab06362c200d5c completed May 2, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12c5919e90819080cdcb589df5c3da completed May 24, 2026, 9:32 a.m.
NEDg Description generation batch_6a12c6815f2081908101a3e47b812298 completed May 24, 2026, 9:36 a.m.
NED2 Entity disambiguation (via description) batch_6a12c6fb1e588190997a8fd210b5e52b completed May 24, 2026, 9:38 a.m.
Created at: April 27, 2026, 11:34 a.m.