Triple
T30323130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Superliga Colombiana |
E771259
|
entity |
| Predicate | matchTiming |
P79963
|
FINISHED |
| Object | usually played at start of Colombian football 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: usually played at start of Colombian football season | Statement: [Superliga Colombiana, matchTiming, usually played at start of Colombian football season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: matchTiming Context triple: [Superliga Colombiana, matchTiming, usually played at start of Colombian football season]
-
A.
matchTimingInnovation
Indicates that the timing of an action, event, or decision is aligned with or optimized for introducing or leveraging innovation.
-
B.
timingPartner
Indicates that one entity serves as a temporal counterpart or reference point for another, aligning their actions or events in time.
-
C.
competitionTiming
chosen
Indicates the temporal relationship or scheduling of when a competition or competitive event takes place.
-
D.
timingOfRace
Indicates the temporal details or schedule associated with a race, such as its start time, duration, or overall timing.
-
E.
matchDurationType
Indicates the type or category of time span associated with a match (e.g., full-time, overtime, shortened, etc.).
- 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_69f22489ee8481909344649bfbb92e83 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6819982248190a4510ebe6ca1ff39 |
completed | May 2, 2026, 10:58 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 7:52 p.m.