Triple
T22852527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2007–08 Grand Prix Final |
E566389
|
entity |
| Predicate | shortProgramRequired |
P149979
|
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: [2007–08 Grand Prix Final, shortProgramRequired, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shortProgramRequired Context triple: [2007–08 Grand Prix Final, shortProgramRequired, true]
-
A.
userProgram
Indicates that a user is associated with, uses, or is responsible for a particular program.
-
B.
intendedProgram
Indicates the academic or training program that an entity plans or expects to pursue, rather than one they are currently enrolled in or have completed.
-
C.
madeProgram
Indicates that one entity created, developed, or authored a program (such as software or a coded application).
-
D.
program
Indicates that an entity creates, writes, or develops a computer program or software application.
-
E.
launchProgram
Indicates initiating the execution of a specified software application or program.
- 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17eb9a5b8819091cbb4ac42fbf778 |
completed | April 29, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69eed2d507c08190895ed971af0fc755 |
completed | April 27, 2026, 3:07 a.m. |
| PDg | Predicate description generation | batch_69eeeb577e2081909f4a4e9c296535c0 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:36 p.m.