Triple
T25504110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Socialist Party presidential primary, 2017 |
E639199
|
entity |
| Predicate | firstRoundSixthPlace |
P108063
|
FINISHED |
| Object | Sylvia Pinel |
—
|
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: Sylvia Pinel | Statement: [Socialist Party presidential primary, 2017, firstRoundSixthPlace, Sylvia Pinel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstRoundSixthPlace Context triple: [Socialist Party presidential primary, 2017, firstRoundSixthPlace, Sylvia Pinel]
-
A.
firstRoundThirdPlace
Indicates that an entity finished in third place in the first round of a competition or selection process.
-
B.
firstRound
chosen
Indicates that the referenced event, match, or interaction occurs in the initial or opening round of a multi-round process or competition.
-
C.
sixthRoundDate
Indicates the date on which the sixth round of an event, process, or sequence takes place.
-
D.
firstRoundResult
Indicates the outcome or status achieved by an entity in the first round of a multi-round process, competition, or evaluation.
-
E.
roundOf16Match
Indicates that the related entities participate in or are associated with a specific match in the round of 16 stage of a tournament.
- 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_69e75dbd09308190b6b5f0afdc12ec6d |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: April 21, 2026, 2:46 p.m.