Triple
T476047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peregrine Sports LLC |
E9063
|
entity |
| Predicate | ownsOrManages |
P13496
|
FINISHED |
| Object | professional sports franchises |
—
|
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: professional sports franchises | Statement: [Peregrine Sports LLC, ownsOrManages, professional sports franchises]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownsOrManages Context triple: [Peregrine Sports LLC, ownsOrManages, professional sports franchises]
-
A.
ownedBy
Indicates that one entity possesses legal or rightful ownership of another entity.
-
B.
ownershipType
Indicates the specific nature or category of the ownership relationship that one entity holds over another.
-
C.
ownsPropertyIn
Indicates that one entity possesses legal ownership rights over property located within a specified place or jurisdiction.
-
D.
ownsFacilityOn
Indicates that one entity possesses ownership or control over a facility located on or associated with another entity (such as a site, property, or area).
-
E.
privateOwnershipShare
Indicates the proportion or share of ownership in an entity that is held by private (non-governmental) owners.
- 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f03b5e5081908ee3dba9d19a6871 |
completed | Feb. 28, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69a2edeed31881908cf43beed410572d |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eeba8a488190986cc7381332f783 |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.