Triple
T30956600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Premier Group |
E788692
|
entity |
| Predicate | roleInEvent |
P268
|
FINISHED |
| Object | torch designer for London 2012 Olympic Torch Relay |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: torch designer for London 2012 Olympic Torch Relay | Statement: [The Premier Group, roleInEvent, torch designer for London 2012 Olympic Torch Relay]
Provenance (2 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_69f224c28c1881908c33b45d689f1724 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69349ba9c8190ba70f7cbd11d6512 |
completed | May 3, 2026, 12:14 a.m. |
Created at: April 29, 2026, 8:54 p.m.