Triple
T6611826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Redgrave |
E149253
|
entity |
| Predicate | litOlympicCauldronWith |
P10390
|
FINISHED |
| Object | 2012 Summer Olympics inner cauldron |
—
|
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: 2012 Summer Olympics inner cauldron | Statement: [Steve Redgrave, litOlympicCauldronWith, 2012 Summer Olympics inner cauldron]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: litOlympicCauldronWith Context triple: [Steve Redgrave, litOlympicCauldronWith, 2012 Summer Olympics inner cauldron]
-
A.
olympicCauldronLighter
chosen
Indicates the person or entity that performs the ceremonial act of lighting the Olympic cauldron at the start of the Olympic Games.
-
B.
olympicFlameLitIn
Indicates that the Olympic flame was lit in a particular location or event.
-
C.
olympicFlameFirstLitInLondon
Indicates that the Olympic flame was first lit in the city of London.
-
D.
OlympicArtCompetition
Indicates a relationship where an entity participated in or is associated with an art competition held as part of the Olympic Games.
-
E.
openedForOlympics
Indicates that something was opened or inaugurated specifically in preparation for or in conjunction with the Olympic Games.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cf3796d08190a26e988386089447 |
completed | March 27, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69c6acfed25481909cac74c84a9fe088 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:57 p.m.