Triple
T12485783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coupe de la Ligue |
E298428
|
entity |
| Predicate | lastEditionSeason |
P49146
|
FINISHED |
| Object | 2019–20 |
—
|
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: 2019–20 | Statement: [Coupe de la Ligue, lastEditionSeason, 2019–20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastEditionSeason Context triple: [Coupe de la Ligue, lastEditionSeason, 2019–20]
-
A.
lastGameSeason
Indicates that one entity is the final or most recent game season associated with another entity.
-
B.
finalEditionSeason
chosen
Indicates that a given season is the final season (last edition) of a series or competition.
-
C.
lastWorksSeason
Indicates the season in which an entity (such as a person or organization) last performed work or was active in a particular role or context.
-
D.
lastEdition
Indicates that one entity is the most recent or final edition/version within a series or sequence of editions.
-
E.
lastSeasonOfPackage
Indicates that one entity is the final season contained within or associated with a given package.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e8a706c8190873623eab7db607d |
completed | April 10, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69d94d41f3cc8190a3331fb9a895306f |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:56 p.m.