Triple

T23864733
Position Surface form Disambiguated ID Type / Status
Subject Ventura metropolitan area E592545 entity
Predicate includesCommunity P8617 FINISHED
Object El Rio, California
El Rio, California is a small unincorporated community in Ventura County known primarily as a residential area within the greater Ventura metropolitan region.
E1623524 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: El Rio, California | Statement: [Ventura metropolitan area, includesCommunity, El Rio, California]
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: El Rio, California
Triple: [Ventura metropolitan area, includesCommunity, El Rio, California]
Generated description
El Rio, California is a small unincorporated community in Ventura County known primarily as a residential area within the greater Ventura metropolitan region.

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_69e25d22eb488190914b193aff952e83 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1cae22ff08190b7085cae21938bb4 completed April 29, 2026, 9:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fbcecc4348190856b64bb1c96c311 completed May 22, 2026, 2:18 a.m.
NEDg Description generation batch_6a0fbe09c6e4819093b71509780fcec0 completed May 22, 2026, 2:23 a.m.
NED2 Entity disambiguation (via description) batch_6a0fbed0cbc48190963e3764a8481cbf completed May 22, 2026, 2:26 a.m.
Created at: April 17, 2026, 8:13 p.m.