Triple
T12403559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghana national under-20 football team |
E296321
|
entity |
| Predicate | continentalTitleCount |
P25122
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Ghana national under-20 football team, continentalTitleCount, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continentalTitleCount Context triple: [Ghana national under-20 football team, continentalTitleCount, 4]
-
A.
continentalTitle
Indicates that a title or championship is recognized at the level of an entire continent rather than a national or global scope.
-
B.
countryWithMostTitles
Indicates the country that holds the highest number of titles (e.g., championships or awards) within a specified competition or context.
-
C.
winnerTitleCount
chosen
Indicates the number of titles or championships an entity has won.
-
D.
countryTopDivisionTitles
Indicates the number of top-tier national league titles an entity has won in a given country.
-
E.
intercontinentalTitle
Indicates a title or championship that is contested between or spans multiple continents.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e1888b48190bd750f839a26e99e |
completed | April 10, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69d94d354b488190adc83fb4f2770dd5 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.