Triple
T1904964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberia national football team |
E37779
|
entity |
| Predicate | regionalCupBestResult |
P25989
|
FINISHED |
| Object | group stage |
—
|
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: group stage | Statement: [Liberia national football team, regionalCupBestResult, group stage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionalCupBestResult Context triple: [Liberia national football team, regionalCupBestResult, group stage]
-
A.
regionalCupAppearances
Indicates the number of times an entity has participated in a specified regional cup competition.
-
B.
bestRegionalResult
chosen
Indicates that the associated result is the highest or most favorable outcome achieved within a specific geographic region or regional grouping.
-
C.
bestRegionalResultYear
Indicates the year in which an entity achieved its best performance or highest result within a specific region.
-
D.
WorldCupRaceWins
Indicates the number of race victories an entity has achieved in World Cup competitions.
-
E.
fifaU20WWC_bestResult
Indicates the best performance or highest stage a team has achieved in the FIFA U-20 Women's World Cup tournament.
- 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_69a8861be7148190a680937ec451a304 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb34d94fc8190a5bf1e582c77c725 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafe9f8b0819086d8f6288511c66d |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.