Triple
T7422030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nickelodeon Universe |
E171271
|
entity |
| Predicate | indoorLocationAdvantage |
P76872
|
FINISHED |
| Object | operates year-round |
—
|
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: operates year-round | Statement: [Nickelodeon Universe, indoorLocationAdvantage, operates year-round]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: indoorLocationAdvantage Context triple: [Nickelodeon Universe, indoorLocationAdvantage, operates year-round]
-
A.
locationInSystem
Indicates that one entity is situated within or belongs to the spatial or organizational bounds of a particular system.
-
B.
locatedInBuildingWithFeature
Indicates that something is located in a building that possesses a specified feature or characteristic.
-
C.
platformLocation
Indicates the spatial position or placement of a platform relative to a reference point or environment.
-
D.
connectsLocation
Indicates a relationship where one entity serves as a link or route that joins or provides access between two locations.
-
E.
nearbyEnvironment
Indicates that an entity is located in or affected by the immediate surrounding conditions or context of another 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2ed29ec8190804564185fe20797 |
completed | March 27, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69c6f03648d08190b862d07fef71210c |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f1ee5ab8819091082324f2dc3b8c |
completed | March 27, 2026, 9:09 p.m. |
Created at: March 27, 2026, 3:11 p.m.