Triple
T6004042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Costa Rica national football team |
E133663
|
entity |
| Predicate | regionalTitleYears |
P14832
|
FINISHED |
| Object | 1963 |
—
|
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: 1963 | Statement: [Costa Rica national football team, regionalTitleYears, 1963]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionalTitleYears Context triple: [Costa Rica national football team, regionalTitleYears, 1963]
-
A.
regionalTitles
chosen
Indicates that an entity holds or is associated with titles or designations that are specific to particular geographic regions.
-
B.
worldTitleYear
Indicates that a work holds a world title associated with a specific year.
-
C.
movementYear
Indicates the year in which a movement, relocation, or transfer of an entity took place.
-
D.
bestRegionalResultYear
Indicates the year in which an entity achieved its best performance or highest result within a specific region.
-
E.
hasYearInTitle
Indicates that the title of an entity explicitly contains a year value as part of its text.
- 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_69c00872444c8190bfaf1739dcec765c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f0f63148190826198281dce3713 |
completed | March 22, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69c049e3316c819087ea635fa7ee8472 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:06 p.m.