Triple
T6001224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1960 AFL Championship |
E133599
|
entity |
| Predicate | isFirstEver |
P46310
|
FINISHED |
| Object | American Football League championship game |
—
|
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: American Football League championship game | Statement: [1960 AFL Championship, isFirstEver, American Football League championship game]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFirstEver Context triple: [1960 AFL Championship, isFirstEver, American Football League championship game]
-
A.
wasFirst
Indicates that one entity occurred, appeared, or held a position before another in time or sequence.
-
B.
firstTimeParticipation
Indicates that an entity is taking part in a specified event, activity, or context for the very first time.
-
C.
isFirstInCategory
chosen
Indicates that an entity is the earliest or primary member within a defined category or group.
-
D.
isFirstNumberOneFor
Indicates that the first number in a given pair, sequence, or context is equal to one for the associated entity or situation.
-
E.
wasFirstVisitedBy
Indicates that a particular entity was initially reached, discovered, or visited by another specified entity before any others.
- 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_69c00872444c8190bfaf1739dcec765c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04ee7c0e08190a6e78969448b070a |
completed | March 22, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69c049e152e88190979ab80cb9b50321 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:05 p.m.