Triple
T1032940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Midwest Conference |
E22293
|
entity |
| Predicate | mostMembersJoined |
P23894
|
FINISHED |
| Object | Conference USA at formation |
—
|
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: Conference USA at formation | Statement: [Great Midwest Conference, mostMembersJoined, Conference USA at formation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostMembersJoined Context triple: [Great Midwest Conference, mostMembersJoined, Conference USA at formation]
-
A.
memberCountAtPeak
Indicates the highest number of members that an entity (such as a group or organization) has had at any point in time.
-
B.
numberOfFullMembers
Indicates the total count of entities that hold full membership status within a specified group or organization.
-
C.
membershipPeakYear
Indicates the year in which an entity’s membership count reached its highest level.
-
D.
originalNumberOfMembers
Indicates the initial total count of members in a group or organization before any changes such as additions or removals.
-
E.
membershipAsOf
Indicates that one entity is a member of another entity or group at a specific point in time or as of a given date.
- 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_69a493d848848190aed4011b34b2e8d3 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8d669448190955507e2e4975b9f |
completed | March 1, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69a4b728ad3481909cf1430349cb9bba |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b8d5076481908640a0d873efdf14 |
completed | March 1, 2026, 10:08 p.m. |
Created at: March 1, 2026, 7:41 p.m.