Triple
T11302115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Conference |
E267619
|
entity |
| Predicate | typeOfMemberGrouping |
P93493
|
FINISHED |
| Object | grouping of franchises by geography |
—
|
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: grouping of franchises by geography | Statement: [Western Conference, typeOfMemberGrouping, grouping of franchises by geography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfMemberGrouping Context triple: [Western Conference, typeOfMemberGrouping, grouping of franchises by geography]
-
A.
groupingType
chosen
Indicates how multiple entities are categorized or clustered together based on a shared grouping criterion.
-
B.
hasMemberType
Indicates that an entity includes or is associated with members belonging to a specified type or category.
-
C.
hasMemberCountType
Indicates the type or classification used to describe how the number of members in a group or collection is represented.
-
D.
clubMembershipType
Indicates the specific category or level of membership that an entity holds within a club.
-
E.
groupedInto
Indicates that multiple entities are collected or organized together as members of a common group or category.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9a5c3788190ba54eda514b97903 |
completed | April 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69d787a6ca2c8190afdc24b61ccd3f8a |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.