Triple
T953471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dubai Fountain |
E20573
|
entity |
| Predicate | numberOfSuperShooters |
P21648
|
FINISHED |
| Object | over 20 |
—
|
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 20 | Statement: [Dubai Fountain, numberOfSuperShooters, over 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSuperShooters Context triple: [Dubai Fountain, numberOfSuperShooters, over 20]
-
A.
numberOfPeopleShot
Indicates the count of individuals who were shot in a particular event or context.
-
B.
numberOfTargets
Indicates the quantity of target entities associated with or affected by a given subject or event.
-
C.
numberOfInvaders
Indicates the quantity of entities classified as invaders associated with a given subject or context.
-
D.
numberOfCanons
Indicates the quantity of canons associated with or possessed by a given entity.
-
E.
numberOfBoosters
Indicates the quantity of booster units associated with or used by an entity.
- F. None of above. chosen
Provenance (4 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_69a493b0f2fc81908cd227480a5356a1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3d8f2e0819097554a301f8aa70f |
completed | March 1, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a045308190ab94f3adab40db8d |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b30efd2c8190b780a6dee086d0aa |
completed | March 1, 2026, 9:43 p.m. |
Created at: March 1, 2026, 7:40 p.m.