Triple
T12843262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Knight Football Club |
E307107
|
entity |
| Predicate | isAmericanLed |
P107184
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Black Knight Football Club, isAmericanLed, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAmericanLed Context triple: [Black Knight Football Club, isAmericanLed, true]
-
A.
isAmerican
Indicates that an entity has American nationality or is from the United States.
-
B.
isStateLed
Indicates that an activity, initiative, or process is directed, controlled, or primarily governed by a state-level authority or government.
-
C.
ledFrom
Indicates that one entity served as the source or origin from which another entity was led or guided.
-
D.
refersToCountryLed
Indicates that one entity makes reference to a country that is governed or led by another specified entity.
-
E.
hasUSAN
Indicates that an entity has a specified United States Adopted Name (USAN), typically a nonproprietary name assigned to a pharmaceutical substance.
- F. None of above. chosen
Provenance (4 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714208f881908f7f8a921362909a |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa08cd481909a946046ba63809f |
completed | April 10, 2026, 9:46 p.m. |
| PDg | Predicate description generation | batch_69d9713e45a88190acd346f066093550 |
completed | April 10, 2026, 9:53 p.m. |
Created at: April 9, 2026, 5:35 p.m.