Triple

T29377384
Position Surface form Disambiguated ID Type / Status
Subject Imperial Highway E745039 entity
Predicate partlyDesignatedAs P25442 FINISHED
Object State Route 90
State Route 90 is a state highway in Southern California that includes segments known as the Marina Freeway and Imperial Highway, connecting coastal and inland communities in the Los Angeles area.
 E2294787 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 90 | Statement: [Imperial Highway, partlyDesignatedAs, State Route 90]
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 90
Triple: [Imperial Highway, partlyDesignatedAs, State Route 90]
Generated description
State Route 90 is a state highway in Southern California that includes segments known as the Marina Freeway and Imperial Highway, connecting coastal and inland communities in the Los Angeles area.

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_69f0a79cfd5481909b4dde750cb8d2c6 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f669afbf3081909d3618d25f39a4ae completed May 2, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7c1ddfe90881909afd1403d78096ab completed Aug. 12, 2026, 7:16 a.m.
NEDg Description generation batch_6a7c1e139f2081909d252f4055a7d3f5 completed Aug. 12, 2026, 7:17 a.m.
NED2 Entity disambiguation (via description) batch_6a7c1ed117208190ac5352f8fb91fd92 completed Aug. 12, 2026, 7:20 a.m.
Created at: April 28, 2026, 2:32 p.m.