Triple

T37633571
Position Surface form Disambiguated ID Type / Status
Subject Civic Arts Plaza E936419 entity
Predicate locatedOn P40 FINISHED
Object Thousand Oaks Boulevard
Thousand Oaks Boulevard is a major thoroughfare in Thousand Oaks, California, known for hosting key civic and cultural landmarks such as the Civic Arts Plaza.
 E2282200 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: Thousand Oaks Boulevard | Statement: [Civic Arts Plaza, locatedOn, Thousand Oaks Boulevard]
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: Thousand Oaks Boulevard
Triple: [Civic Arts Plaza, locatedOn, Thousand Oaks Boulevard]
Generated description
Thousand Oaks Boulevard is a major thoroughfare in Thousand Oaks, California, known for hosting key civic and cultural landmarks such as the Civic Arts Plaza.

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_69f76ed31d8881908405da6c6d2f0463 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba95d83ec8190932a5ea70e1a29e1 completed May 6, 2026, 8:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4215789b388190928ec48990cac3ed completed June 29, 2026, 6:49 a.m.
NEDg Description generation batch_6a4216605ea08190a12e6a8811bd8c8c completed June 29, 2026, 6:53 a.m.
NED2 Entity disambiguation (via description) batch_6a4216bacd848190b6a11926ac2c12af completed June 29, 2026, 6:54 a.m.
Created at: May 3, 2026, 4:18 p.m.