Triple

T32973566
Position Surface form Disambiguated ID Type / Status
Subject Golden Zephyr E843591 entity
Predicate queueLocation P40792 FINISHED
Object Paradise Gardens Park promenade
Paradise Gardens Park promenade is a waterfront pedestrian area in Disney California Adventure known for its scenic views and access to nearby attractions and dining.
E2030120 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: Paradise Gardens Park promenade | Statement: [Golden Zephyr, queueLocation, Paradise Gardens Park promenade]
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: Paradise Gardens Park promenade
Triple: [Golden Zephyr, queueLocation, Paradise Gardens Park promenade]
Generated description
Paradise Gardens Park promenade is a waterfront pedestrian area in Disney California Adventure known for its scenic views and access to nearby attractions and dining.

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_69f3494b9fc48190bb61c955ba471275 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d1ad5cb48190b7c1598f0522d6a1 completed May 3, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34d284d04481909495055f0f0893de completed June 19, 2026, 5:24 a.m.
NEDg Description generation batch_6a34d443ab8c819098d57ea054c7ae43 completed June 19, 2026, 5:31 a.m.
NED2 Entity disambiguation (via description) batch_6a34d4bd0a9881909751dcf14efd0fcf completed June 19, 2026, 5:33 a.m.
Created at: May 1, 2026, 1:22 a.m.