Triple
T30956724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rio 2016 Olympic Torch Relay |
E788694
|
entity |
| Predicate | torchLightingCeremonyType |
P163729
|
FINISHED |
| Object | traditional Olympic flame lighting ceremony |
—
|
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: traditional Olympic flame lighting ceremony | Statement: [Rio 2016 Olympic Torch Relay, torchLightingCeremonyType, traditional Olympic flame lighting ceremony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: torchLightingCeremonyType Context triple: [Rio 2016 Olympic Torch Relay, torchLightingCeremonyType, traditional Olympic flame lighting ceremony]
-
A.
torchLightingLocation
Indicates the location where a torch is or should be lit in relation to another entity or environment.
-
B.
laterLightingType
Indicates that one lighting type occurs or is applied after another in time.
-
C.
lightingEvents
Indicates events or actions involving the activation, change, or control of lighting.
-
D.
lightingTime
Indicates the time at which a lighting event or illumination occurs or is scheduled.
-
E.
lightingOccasion
chosen
Indicates a relationship where a specific lighting setup or event is associated with a particular occasion or contextual situation.
- 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_69f224c28c1881908c33b45d689f1724 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6a916d2e08190bafc01cba73b6469 |
completed | May 3, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 29, 2026, 8:54 p.m.