Triple
T9536759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zimbabwe national football team |
E230036
|
entity |
| Predicate | eligiblePlayersCitizenship |
P41787
|
FINISHED |
| Object | Zimbabwean |
—
|
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: Zimbabwean | Statement: [Zimbabwe national football team, eligiblePlayersCitizenship, Zimbabwean]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eligiblePlayersCitizenship Context triple: [Zimbabwe national football team, eligiblePlayersCitizenship, Zimbabwean]
-
A.
allowedNBAPlayersFrom
Indicates that certain NBA players are permitted or eligible to come from a specified source, such as a team, region, or category.
-
B.
allowsForeignPlayers
Indicates that an entity permits participation or involvement by players who are from foreign countries or outside its primary jurisdiction.
-
C.
definedCitizenship
Indicates that a formal citizenship status has been legally established or specified for an entity.
-
D.
creatorCountryOfCitizenship
Indicates the country in which the creator holds or held legal citizenship.
-
E.
countryOfPlayer
chosen
Indicates the country with which a given player is associated, such as their nationality or the nation they represent.
- 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_69ca847b1b3081908f72bc932c17cc41 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98ce884c8190a8b3c2dc7c73c2c9 |
completed | April 1, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69cca56c44f88190a54a5d2a133bb07e |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 8:01 p.m.