Triple

T31601796
Position Surface form Disambiguated ID Type / Status
Subject TransCenter E806365 entity
Predicate replacedBy P101 FINISHED
Object Test Track post-show area
The Test Track post-show area is an interactive exhibit space at Epcot where guests explore automotive technology, design, and sponsor displays after riding the Test Track attraction.
 E1970231 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: Test Track post-show area | Statement: [TransCenter, replacedBy, Test Track post-show area]
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: Test Track post-show area
Triple: [TransCenter, replacedBy, Test Track post-show area]
Generated description
The Test Track post-show area is an interactive exhibit space at Epcot where guests explore automotive technology, design, and sponsor displays after riding the Test Track attraction.

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_69f348d54ccc8190a03b5df9a2b40b25 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a86bb67481909a8362799c445010 completed May 3, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b565a66388190af7c640ac260ef0d completed June 12, 2026, 12:44 a.m.
NEDg Description generation batch_6a2b56e5e13881908dfb01d199fa9b9f completed June 12, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_6a2b70c031548190bd2e8f99f3243398 completed June 12, 2026, 2:36 a.m.
Created at: April 30, 2026, 10:33 p.m.