Triple
T32989598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syracuse Orange men’s cross country |
E844046
|
entity |
| Predicate | NCAAteamRunnerUpFinishes |
P176084
|
FINISHED |
| Object | 1951 |
—
|
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: 1951 | Statement: [Syracuse Orange men’s cross country, NCAAteamRunnerUpFinishes, 1951]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NCAAteamRunnerUpFinishes Context triple: [Syracuse Orange men’s cross country, NCAAteamRunnerUpFinishes, 1951]
-
A.
NCAATournamentRunnerUpFinishes
Indicates that a team finished as the runner-up (second place) in a specific NCAA Tournament.
-
B.
NCAAFinalRunnerUp
Indicates that an entity finished in second place (as the runner-up) in the NCAA football championship for a given season.
-
C.
NCAASemifinalAppearances
Indicates the number of times an entity has reached the semifinal round of an NCAA tournament.
-
D.
NCAADivisionIITournamentAppearances
Indicates that an entity has participated in the NCAA Division II basketball tournament at least once.
-
E.
NCAAFinalFourAppearances
Indicates the number of times a team has reached the semifinal round (Final Four) of the NCAA football championship structure, if such a format is being referenced.
- 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_69f3494d99988190b502c68926af2c4d |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
| PDg | Predicate description generation | batch_69f6db6a38d881909ecc75cc527910f2 |
completed | May 3, 2026, 5:21 a.m. |
Created at: May 1, 2026, 1:22 a.m.