Triple
T24712544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pata Pata |
E612067
|
entity |
| Predicate | originallyRecordedIn |
P126695
|
FINISHED |
| Object | South Africa |
—
|
NE NERFINISHED |
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: South Africa | Statement: [Pata Pata, originallyRecordedIn, South Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originallyRecordedIn Context triple: [Pata Pata, originallyRecordedIn, South Africa]
-
A.
originallyRecordedFor
Indicates that a work or performance was first recorded with the specific purpose of being used, released, or presented in the context of the target entity.
-
B.
originallyRecordedAt
chosen
Indicates that an audio or video work was first captured or produced at a specific location or venue.
-
C.
placeOfRecording
Indicates the location where an audio, video, or other recording was made.
-
D.
originallyProducedIn
Indicates that something was first created, manufactured, or brought into existence in a particular place or location.
-
E.
oftenRecordedIn
Indicates that instances of one entity are frequently documented, logged, or captured within another entity (such as a medium, dataset, or record).
- 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_69e2c4d9c24c8190a3712d74327f0c6e |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
Created at: April 18, 2026, 3:25 a.m.