Triple
T33278905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MAC East Division |
E851982
|
entity |
| Predicate | determinesBowlTieInsVia |
P176443
|
FINISHED |
| Object | Mid-American Conference bowl agreements |
—
|
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: Mid-American Conference bowl agreements | Statement: [MAC East Division, determinesBowlTieInsVia, Mid-American Conference bowl agreements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: determinesBowlTieInsVia Context triple: [MAC East Division, determinesBowlTieInsVia, Mid-American Conference bowl agreements]
-
A.
hasBowlTieIn
Indicates that an entity is wearing or characterized by a bow tie in a particular context or situation.
-
B.
associatedBowlTieIn
Indicates a relationship where a specific bowl is linked or connected to a particular tie in a given context or configuration.
-
C.
includesBowl
Indicates that something contains or has a bowl as one of its components or elements.
-
D.
bowlOutcome
Indicates the result or consequence of a bowling action or event for the involved entities.
-
E.
bowlSystem
Indicates a relationship where one entity functions as or belongs to a bowling-related system, setup, or arrangement involving bowls or bowling equipment.
- 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_69f349653da08190819876015a298fdb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6e029f0f88190b1f88d82a4a2cabd |
completed | May 3, 2026, 5:42 a.m. |
Created at: May 1, 2026, 1:32 a.m.