Triple
T3778106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sega Sports |
E83355
|
entity |
| Predicate | brandUsedOn |
P23474
|
FINISHED |
| Object | sports game packaging |
—
|
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: sports game packaging | Statement: [Sega Sports, brandUsedOn, sports game packaging]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandUsedOn Context triple: [Sega Sports, brandUsedOn, sports game packaging]
-
A.
usedBrand
Indicates that an entity has utilized, applied, or operated a particular brand in some context.
-
B.
brandUsage
chosen
Indicates that one entity uses, features, or is associated with another entity’s brand in its products, services, or communications.
-
C.
usedInBrand
Indicates that something (such as a component, material, or element) is utilized as part of or within a particular brand.
-
D.
usedOn
Indicates that one entity is applied to, operated on, or otherwise utilized in relation to another entity.
-
E.
hasBrandName
Indicates that an entity is associated with or identified by a specific brand name.
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc5d3dbc8190b6ab118a56acd5a3 |
completed | March 8, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69adc050cc5c81909d9855f866f3c26d |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:36 p.m.