Triple
T1775943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syracuse Orange football |
E38977
|
entity |
| Predicate | hasConsensusAllAmericans |
P32282
|
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: [Syracuse Orange football, hasConsensusAllAmericans, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConsensusAllAmericans Context triple: [Syracuse Orange football, hasConsensusAllAmericans, true]
-
A.
nearUniversalRatification
Indicates that an agreement, treaty, or convention has been ratified by almost all eligible parties, with only a very small number not having ratified it.
-
B.
unanimousDecision
Indicates that all relevant participants fully agree on a decision without any dissent.
-
C.
ratifiedBy
Indicates that an agreement, treaty, or decision has been formally approved and made officially valid by a specified authority or body.
-
D.
stateOfFirstRatification
Indicates the state in which an agreement, treaty, or document was first formally ratified.
-
E.
hasMajority
Indicates that one entity holds more than half of the total share, control, or quantity in relation to another entity or set.
- 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab74dc9d1481908084ef07872a71f8 |
completed | March 7, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69aa61cf3ca881908641fd73ce2f7c9d |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab74db3dbc8190ab256a4e158062b8 |
completed | March 7, 2026, 12:44 a.m. |
Created at: March 4, 2026, 7:31 p.m.