Triple
T22691262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamaica national football team |
E561055
|
entity |
| Predicate | goldCupAppearances |
P149285
|
FINISHED |
| Object | multiple |
—
|
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: multiple | Statement: [Jamaica national football team, goldCupAppearances, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goldCupAppearances Context triple: [Jamaica national football team, goldCupAppearances, multiple]
-
A.
goldCupTitles
Indicates the number of CONCACAF Gold Cup titles that an entity (typically a team or country) has won.
-
B.
goldCupBestResult
Indicates the best performance or highest achievement an entity has attained in a Gold Cup competition.
-
C.
ConfederationsCupAppearances
Indicates the number of times an entity has participated in the FIFA Confederations Cup tournament.
-
D.
worldCupAppearancesCount
Indicates the number of times an entity has participated in the FIFA World Cup tournament.
-
E.
worldCupAppearances
Indicates the number of times an entity has participated in a FIFA World Cup tournament.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789adcc48190b4a717166d5dba19 |
completed | April 29, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69ee62b2259c819091ed1387a748b9f3 |
completed | April 26, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_69ee8843d3308190b6e22bb98ae5c3d8 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:13 p.m.