Triple
T3547180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puma (licensed watches) |
E75023
|
entity |
| Predicate | usesLicensingModel |
P50497
|
FINISHED |
| Object | brand licensing agreement |
—
|
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: brand licensing agreement | Statement: [Puma (licensed watches), usesLicensingModel, brand licensing agreement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesLicensingModel Context triple: [Puma (licensed watches), usesLicensingModel, brand licensing agreement]
-
A.
licenseModel
Indicates the licensing scheme or framework that governs how something may be used, distributed, or accessed.
-
B.
supportsLicense
Indicates that one entity is compatible with, enables, or is configured to work under a specified license.
-
C.
requiresLicenseOf
Indicates that one entity must obtain or hold the license associated with another entity in order to use, access, or perform something.
-
D.
licenseEnforced
Indicates that a license’s terms or restrictions are actively applied and upheld in relation to the associated entity or activity.
-
E.
engineLicenseBasedOn
Indicates that an engine’s license is determined or derived from another specified license or licensing basis.
- 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_69ad85d33c6c819081d5ac1df13b5680 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbfcf64488190af8452308734028c |
completed | March 8, 2026, 6:28 p.m. |
| PD | Predicate disambiguation | batch_69adb83270ac819083967db0570167d2 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adba25c66c81909a05a97327828c41 |
completed | March 8, 2026, 6:04 p.m. |
Created at: March 8, 2026, 3:20 p.m.