Triple
T14861988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AFL clubs |
E349516
|
entity |
| Predicate | typicalOwnershipModel |
P21682
|
FINISHED |
| Object | member-based not-for-profit |
—
|
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: member-based not-for-profit | Statement: [AFL clubs, typicalOwnershipModel, member-based not-for-profit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalOwnershipModel Context triple: [AFL clubs, typicalOwnershipModel, member-based not-for-profit]
-
A.
ownershipType
Indicates the specific nature or category of the ownership relationship that one entity holds over another.
-
B.
ownershipModel
chosen
Indicates the type or structure of ownership relationship that governs how control, rights, or shares are held between entities.
-
C.
typicallyOwnedBy
Indicates that something is most commonly or usually possessed or owned by a particular type of entity.
-
D.
typicalUnitType
Indicates that one entity is the standard or commonly used unit type associated with measuring or expressing the other entity.
-
E.
ownershipCharacteristic
Indicates that one entity possesses a particular quality, attribute, or condition specifically in its role as an owner of another entity.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded573cba881908d6d9ac570a64e5f |
completed | April 15, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69de8c1798c08190b433e9ad21e41a42 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:54 a.m.