Triple
T28150041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beat Again |
E714592
|
entity |
| Predicate | regionOfCertification |
P115750
|
FINISHED |
| Object | United Kingdom |
—
|
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: United Kingdom | Statement: [Beat Again, regionOfCertification, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionOfCertification Context triple: [Beat Again, regionOfCertification, United Kingdom]
-
A.
certifyingTerritory
chosen
Indicates the territory or jurisdiction within which an entity is authorized to issue or recognize a certification.
-
B.
accreditationRegion
Indicates the geographic or jurisdictional area within which an accreditation is valid or recognized.
-
C.
registrationRegion
Indicates the geographic or administrative region in which an entity is officially registered.
-
D.
regionOfPromulgation
Indicates the geographic or jurisdictional area in which a law, regulation, or official act is formally issued or put into effect.
-
E.
regionOfAward
Indicates the geographic or administrative region in which an award is given or recognized.
- 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_69efd6b033208190bf74f80a147e2092 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: April 27, 2026, 9:59 p.m.