Triple

T24985515
Position Surface form Disambiguated ID Type / Status
Subject Streets of America E625296 entity
Predicate partOf P40 FINISHED
Object Disney's Hollywood Studios backlot
Disney's Hollywood Studios backlot is a themed production-style area of the Walt Disney World park designed to resemble real movie studio backlots and city streets used for film and television settings.
E10738 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: Disney's Hollywood Studios backlot | Statement: [Streets of America, partOf, Disney's Hollywood Studios backlot]
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: Disney's Hollywood Studios backlot
Triple: [Streets of America, partOf, Disney's Hollywood Studios backlot]
Generated description
Disney's Hollywood Studios backlot is a themed production-style area of the Walt Disney World park designed to resemble real movie studio backlots and city streets used for film and television settings.

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_69e2ff254570819093d197b1900305ac completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f4490a4a508190bdd6c2dde03e251a completed May 1, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a103363c2c08190a64ee4f8dff65090 completed May 22, 2026, 10:43 a.m.
NEDg Description generation batch_6a103422072c8190949546db07c0b9bd completed May 22, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_6a103516e0e88190898a8b019ff7e6e5 completed May 22, 2026, 10:51 a.m.
Created at: April 18, 2026, 6:03 a.m.