Triple
T6611574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Didier Drogba |
E149249
|
entity |
| Predicate | yearsActiveNationalTeam |
P30936
|
FINISHED |
| Object | 2002–2014 |
—
|
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: 2002–2014 | Statement: [Didier Drogba, yearsActiveNationalTeam, 2002–2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearsActiveNationalTeam Context triple: [Didier Drogba, yearsActiveNationalTeam, 2002–2014]
-
A.
nationalTeamAppearances
Indicates the number of official matches in which an entity has represented its national team.
-
B.
hasPlayedForNationalTeam
Indicates that an athlete has been a member of and appeared in competition for a specified national team.
-
C.
nationalTeamYears
chosen
Indicates the span of years during which an entity was active as a member of a national team.
-
D.
activeYearsInWorldCup
Indicates the span of years during which an entity actively participated in World Cup competitions.
-
E.
nationalTeamLastAppearance
Indicates the most recent occasion on which an entity appeared for its national team in an official match or competition.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cf3796d08190a26e988386089447 |
completed | March 27, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69c6acfed25481909cac74c84a9fe088 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:57 p.m.