Triple
T2063096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Zealand national sports teams |
E45835
|
entity |
| Predicate | nicknameTheme |
P7596
|
FINISHED |
| Object | use of the word "Black" in team nicknames |
—
|
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: use of the word "Black" in team nicknames | Statement: [New Zealand national sports teams, nicknameTheme, use of the word "Black" in team nicknames]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nicknameTheme Context triple: [New Zealand national sports teams, nicknameTheme, use of the word "Black" in team nicknames]
-
A.
namePunOn
Indicates that one entity’s name is a play on, parody of, or humorous variation of another entity’s name.
-
B.
localNickname
Indicates that an entity is known by a particular nickname within a specific local or regional context.
-
C.
reasonForNickname
chosen
Indicates the explanation or cause behind why a particular nickname was given to an entity.
-
D.
fandomNickname
Indicates that one entity is the nickname used by fans to refer to another entity (such as a person, group, or work).
-
E.
isNickname
Indicates that one name is an informal or alternative name commonly used to refer to the same person or entity as another name.
- 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_69a8891b38288190abd572ccad9b6928 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9d3a92081909416c1d087876e99 |
completed | March 7, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69abb7aee9b48190999620176e3a6ee2 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:40 p.m.