Triple
T15038655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enfield Tennis Academy |
E378542
|
entity |
| Predicate | setInTimeFictional |
P106751
|
FINISHED |
| Object | near-future subsidized time period |
—
|
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: near-future subsidized time period | Statement: [Enfield Tennis Academy, setInTimeFictional, near-future subsidized time period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setInTimeFictional Context triple: [Enfield Tennis Academy, setInTimeFictional, near-future subsidized time period]
-
A.
fictionalTime
Indicates that the associated time or temporal reference exists only within a fictional or imagined context, rather than in real-world chronology.
-
B.
setInFictionalYear
Indicates that the events or narrative of a work are situated in a specified fictional or non-real calendar year.
-
C.
fictionalTimeDepth
chosen
Indicates a relationship where an entity is associated with a time period or temporal depth that exists only within a fictional or imagined context.
-
D.
setInFictionalLocation
Indicates that an event, story, or narrative takes place within a fictional or imagined location rather than a real-world setting.
-
E.
fictionalTimeToImpact
Indicates the amount of time, within a fictional or hypothetical context, remaining until a specified impact event occurs.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82cf3848190b0b2b6c9e65bc70b |
completed | April 15, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69de9a69d7848190b2b4662dd30f20e9 |
completed | April 14, 2026, 7:50 p.m. |
Created at: April 10, 2026, 2:59 a.m.