Triple
T1640197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Division |
E35450
|
entity |
| Predicate | divisionTitlesAwarded |
P25333
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Central Division, divisionTitlesAwarded, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: divisionTitlesAwarded Context triple: [Central Division, divisionTitlesAwarded, yes]
-
A.
divisionTitleAwarded
chosen
Indicates that a specific title or championship has been awarded within a particular division.
-
B.
divisionTitlesAwardedSince
Indicates the number or list of division titles that have been awarded to an entity starting from a specified point in time.
-
C.
divisionTitles
Indicates that an entity holds or is associated with one or more titles or championships within a specific division or category.
-
D.
divisionTitleCount
Indicates the number of titles or championships associated with a particular division.
-
E.
divisionTitle
Indicates the formal name or title assigned to a specific division within a larger organization or structure.
- 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_69a88604618c81908b41f6429c431eb6 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a919306fd48190a245fc95e0e759d9 |
completed | March 5, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69a907cc9d348190b76b0d3f596e5a81 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.