Triple
T7550109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ligue 1 Player of the Month |
E178507
|
entity |
| Predicate | hasAwardCycle |
P24525
|
FINISHED |
| Object | each month of the Ligue 1 season |
—
|
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: each month of the Ligue 1 season | Statement: [Ligue 1 Player of the Month, hasAwardCycle, each month of the Ligue 1 season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwardCycle Context triple: [Ligue 1 Player of the Month, hasAwardCycle, each month of the Ligue 1 season]
-
A.
hasAwardPeriod
chosen
Indicates the time span or date range during which an award is valid, active, or applicable.
-
B.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
-
C.
hasSubsequentAward
Indicates that an entity has received an additional award that follows a previous award in time or sequence.
-
D.
awardedDuring
Indicates that an award or honor was given to an entity within a specified time period or event.
-
E.
isAwardedIn
Indicates that an award or honor is given or conferred within a specific event, context, or time frame.
- 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_69c69f2cbe08819088f9eb0c03ef529b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8b35ba481908e1e5bbf329daa33 |
completed | March 27, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69c6f4daad6c8190af2b8ae88d2c8cb7 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:49 p.m.