Triple
T13781401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calendar Grand Slam |
E331138
|
entity |
| Predicate | requiresNumberOfMajors |
P110932
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Calendar Grand Slam, requiresNumberOfMajors, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresNumberOfMajors Context triple: [Calendar Grand Slam, requiresNumberOfMajors, 4]
-
A.
requiresMajority
Indicates that the action or decision is contingent on receiving approval from more than half of the relevant group or participants.
-
B.
requiresTypeOfMajority
Indicates that a decision, action, or rule is contingent on obtaining a specified type or level of majority approval.
-
C.
hasMajor
Indicates that an entity (typically a person or student) has a specific primary field of academic study or specialization.
-
D.
isMajor
Indicates that an entity holds primary or greater significance, importance, or rank relative to others in a given context.
-
E.
numberOfMajorRevisions
Indicates the count of significant revision events that have occurred for an entity.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02460a688190a27874f8d35819c7 |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbbe98b5bc8190967907ec64d0317d |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc59db0148190bcaf9646403ca64f |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 9, 2026, 10:11 p.m.