Triple
T33135914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syracuse Orange field hockey |
E848003
|
entity |
| Predicate | nationalChampionInYear |
P79595
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Syracuse Orange field hockey, nationalChampionInYear, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalChampionInYear Context triple: [Syracuse Orange field hockey, nationalChampionInYear, 2015]
-
A.
seasonChampion
Indicates that an entity is the winner or champion of a particular season of a competition, league, or series.
-
B.
yearOfWin
Indicates the specific calendar year in which an entity achieved a particular victory or win.
-
C.
seasonChampionshipYear
Indicates the specific year in which a particular season’s championship took place or was awarded.
-
D.
finalsChampion
Indicates that an entity is the winner or champion of a particular final match, series, or tournament.
-
E.
collegeChampionshipYear
chosen
Indicates the specific year in which a college team or individual won a championship title.
- 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_69f3495961d88190b16ea542c2c5f825 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd0d0ba5c48190bddb3f0e6637544c |
completed | May 7, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69fd0c4324a8819086c90adf46216e0e |
completed | May 7, 2026, 10:03 p.m. |
Created at: May 1, 2026, 1:27 a.m.