Triple

T24138185
Position Surface form Disambiguated ID Type / Status
Subject California State Route 15 E598147 entity
Predicate isDesignatedAs P974 FINISHED
Object State Route 15
State Route 15 is a California state highway that connects Interstate 5 in San Diego to Interstate 8 and continues northward as Interstate 15.
 E2290600 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 Route 15 | Statement: [California State Route 15, isDesignatedAs, State Route 15]
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 Route 15
Triple: [California State Route 15, isDesignatedAs, State Route 15]
Generated description
State Route 15 is a California state highway that connects Interstate 5 in San Diego to Interstate 8 and continues northward as Interstate 15.

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_69e288c92e448190ac57034fa0c863ce completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1df7e3c20819099ff289789829d7e completed April 29, 2026, 10:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a5be68ae5d08190941efce3f999e2c5 completed July 18, 2026, 8:48 p.m.
NEDg Description generation batch_6a5be6e1af3c8190923356953a9b79bf completed July 18, 2026, 8:49 p.m.
NED2 Entity disambiguation (via description) batch_6a5be7811ab0819095f230e9fc8b4350 completed July 18, 2026, 8:52 p.m.
Created at: April 17, 2026, 11:27 p.m.