Triple
T29254052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Studio 1 |
E741646
|
entity |
| Predicate | isKeyAreaOf |
P148271
|
FINISHED |
| Object | guest arrival experience at Walt Disney Studios Park |
—
|
LITERAL 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: guest arrival experience at Walt Disney Studios Park | Statement: [Studio 1, isKeyAreaOf, guest arrival experience at Walt Disney Studios Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isKeyAreaOf Context triple: [Studio 1, isKeyAreaOf, guest arrival experience at Walt Disney Studios Park]
-
A.
isKeyRegionFor
Indicates that one region plays a central or strategically important role in relation to a specified process, function, or larger area.
-
B.
isKeyRegionIn
Indicates that a region plays a central or strategically important role within a larger area, system, or context.
-
C.
isOneOfMainAreasFor
chosen
Indicates that something belongs to the primary set of domains, topics, or fields associated with another entity.
-
D.
isKeyDistrictOf
Indicates that a district holds strategic, political, or administrative importance within a larger region, organization, or system.
-
E.
isInArea
Indicates that one entity is located within the spatial bounds or region defined by another entity.
- F. None of above.
Provenance (3 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_69f0911eba2c8190b07cd2fdf91422c9 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 28, 2026, 12:35 p.m.