Triple
T12403458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asamoah Gyan |
E296319
|
entity |
| Predicate | positionInWorldCupHistory |
P43244
|
FINISHED |
| Object | top African goalscorer in FIFA World Cup history |
—
|
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: top African goalscorer in FIFA World Cup history | Statement: [Asamoah Gyan, positionInWorldCupHistory, top African goalscorer in FIFA World Cup history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInWorldCupHistory Context triple: [Asamoah Gyan, positionInWorldCupHistory, top African goalscorer in FIFA World Cup history]
-
A.
WorldCupAppearances
Indicates the number of times an entity has participated in FIFA World Cup final tournaments.
-
B.
worldCupAppearances
Indicates the number of times an entity has participated in a FIFA World Cup tournament.
-
C.
fifaWorldRankingPeakPosition
Indicates the highest (best) position an entity has ever achieved in the official FIFA world rankings.
-
D.
worldCupRecord
chosen
Indicates a relationship that specifies an entity’s performance statistics or achievements in FIFA World Cup competitions.
-
E.
representsInWorldCup
Indicates that an entity (such as a player or team) participates as a representative of a country or organization in a FIFA 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_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.