Triple
T6036087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stéphane Préfontaine |
E134424
|
entity |
| Predicate | positionInEvent |
P68897
|
FINISHED |
| Object | final torchbearer |
—
|
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: final torchbearer | Statement: [Stéphane Préfontaine, positionInEvent, final torchbearer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInEvent Context triple: [Stéphane Préfontaine, positionInEvent, final torchbearer]
-
A.
positionInState
Indicates that one entity occupies or holds a specific position, role, or status within a particular state or condition of another entity.
-
B.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
-
C.
positionInCase
Indicates the specific role, status, or placement that an entity holds within a particular case or legal proceeding.
-
D.
positionInShow
Indicates the specific order or placement an entity occupies within a show, series, or sequence of performances or episodes.
-
E.
positionB
Indicates that one entity occupies or is located at a specific position relative to another entity.
- F. None of above. chosen
Provenance (4 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_69c00875db5c819099dd5bb833ec43c2 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056b4e3ec819089b2d119ea2953fe |
completed | March 22, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69c049e9a68c81909da0cfe4779ce9b5 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8c5bfc8190b986a7071d1b23e3 |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:08 p.m.