Triple
T1875276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American League Wild Card team |
E39128
|
entity |
| Predicate | hasNotableOutcome |
P1706
|
FINISHED |
| Object | can win World Series |
—
|
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: can win World Series | Statement: [American League Wild Card team, hasNotableOutcome, can win World Series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableOutcome Context triple: [American League Wild Card team, hasNotableOutcome, can win World Series]
-
A.
notableOutcome
chosen
Indicates that an action, event, or entity leads to or is associated with a significant, noteworthy result or consequence.
-
B.
hasNotableDecision
Indicates that an entity is associated with a specific decision that is considered significant or noteworthy in some context.
-
C.
hasNotableResponse
Indicates that an entity has received a significant, noteworthy, or widely recognized reaction or feedback in response to it.
-
D.
hasNotableContender
Indicates that an entity has a significant rival, challenger, or competitor recognized as noteworthy in relation to it.
-
E.
hasNotableUpsets
Indicates that one entity has achieved surprising or unexpected victories over another entity or entities.
- 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_69a8862f7074819096afe7fe65e179e9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0f79fbc819085c54f3189a552d9 |
completed | March 7, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69abafe2b56c81909e13d543982e6e13 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:34 p.m.