Triple
T29906482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghana vs United States (2014 FIFA World Cup) |
E759548
|
entity |
| Predicate | teamGhanaNickname |
P5076
|
FINISHED |
| Object | Black Stars |
—
|
NE NERFINISHED |
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: Black Stars | Statement: [Ghana vs United States (2014 FIFA World Cup), teamGhanaNickname, Black Stars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamGhanaNickname Context triple: [Ghana vs United States (2014 FIFA World Cup), teamGhanaNickname, Black Stars]
-
A.
notableTeamNickname
Indicates that a team is commonly known by a particular nickname that is notable or widely recognized.
-
B.
teamNicknamedAfter
Indicates that a team is commonly referred to by a nickname derived from or inspired by another entity.
-
C.
supporterGroupNickname
Indicates that a particular nickname is used to refer to a group of supporters associated with an entity.
-
D.
teamNickname
chosen
Indicates the commonly used informal or symbolic name by which a team is known.
-
E.
fanNicknameForFixture
Indicates that a particular nickname is used by fans to refer to a specific fixture or matchup.
- 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_69f224600590819085e148a01c056ef6 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67756337881908627f7068dc02d9f |
completed | May 2, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:08 p.m.