Triple
T16966822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Playboy Clubs |
E411560
|
entity |
| Predicate | numberOfLocationsAtPeak |
P125422
|
FINISHED |
| Object | more than 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: more than 20 | Statement: [Playboy Clubs, numberOfLocationsAtPeak, more than 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfLocationsAtPeak Context triple: [Playboy Clubs, numberOfLocationsAtPeak, more than 20]
-
A.
numberOfPeaks
Indicates the count of distinct peak points or maximum values present within a given entity or dataset.
-
B.
numberOfDistrictsPeak
Indicates the maximum number of districts that an entity reaches or has at its highest point over a given period or context.
-
C.
highestPeakAccessed
Indicates that one entity has reached or visited the tallest peak associated with another entity or within a specified context.
-
D.
areaPeak
Indicates that a specified location or region is the highest point (peak) within a given area or spatial extent.
-
E.
areaPeakApprox
Indicates an approximate measurement or estimation of the peak area associated with an entity or event.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0a548b48190b87468630f3e3209 |
completed | April 18, 2026, 6:42 p.m. |
| PD | Predicate disambiguation | batch_69e35d4dff4881909b384e30f2d36bff |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e3753f93c88190808fec5692f66699 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:31 a.m.