Triple
T12769186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warner Bros. World Abu Dhabi |
E305200
|
entity |
| Predicate | numberOfRidesAndAttractions |
P42385
|
FINISHED |
| Object | over 25 |
—
|
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: over 25 | Statement: [Warner Bros. World Abu Dhabi, numberOfRidesAndAttractions, over 25]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfRidesAndAttractions Context triple: [Warner Bros. World Abu Dhabi, numberOfRidesAndAttractions, over 25]
-
A.
numberOfAttractions
chosen
Indicates the total count of attractions associated with a given entity or context.
-
B.
hasThrillRides
Indicates that an entity offers or includes thrill rides as part of its features or attractions.
-
C.
numberOfRideVehiclesPerTheater
Indicates the quantity of ride vehicles assigned to or operating within each individual theater.
-
D.
themeParkCount
Indicates the number of theme parks associated with a given entity.
-
E.
numberOfRollerCoasters
Indicates the quantity of roller coasters associated with a given 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df3b2f88190b37b696400178795 |
completed | April 10, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69d96409739881909174ba005a986cb5 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:28 p.m.