Triple
T12246870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA Division II Softball Championship |
E291872
|
entity |
| Predicate | regionalsNumber |
P103706
|
FINISHED |
| Object | multiple regional tournaments |
—
|
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: multiple regional tournaments | Statement: [NCAA Division II Softball Championship, regionalsNumber, multiple regional tournaments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionalsNumber Context triple: [NCAA Division II Softball Championship, regionalsNumber, multiple regional tournaments]
-
A.
regionNumber
Indicates that an entity is assigned to or associated with a specific numbered region within a larger spatial or organizational division.
-
B.
typicalNumberOfSuperRegionals
Indicates the usual or standard count of super-regional units or events associated with an entity.
-
C.
regionOfRunnerUp
Indicates the geographic region associated with the runner-up in a competition or event.
-
D.
clubRegion
Indicates that a club is located in, associated with, or belongs to a particular geographic region.
-
E.
regionLeague
Indicates a relationship where a specific region is associated with, belongs to, or is governed by a particular league or league-level organization.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d38ee10819093ed41d2954bf4ef |
completed | April 10, 2026, 3:54 p.m. |
| PD | Predicate disambiguation | batch_69d91c46dcd88190a263db30804bff36 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d91d3654208190a2e0487dfa1d54da |
completed | April 10, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:51 p.m.