Triple
T34804205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tower Records |
E1003303
|
entity |
| Predicate | brandActiveIn |
P182298
|
FINISHED |
| Object | Japan |
—
|
NE NERFINISHED |
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: Japan | Statement: [Tower Records, brandActiveIn, Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandActiveIn Context triple: [Tower Records, brandActiveIn, Japan]
-
A.
brandPosition
Indicates the relative market or perceptual placement of a brand compared to competitors or within a defined category.
-
B.
brandIncorporatedInto
Indicates that one brand has been merged into, absorbed by, or otherwise formally integrated as part of another brand.
-
C.
brandingStatus
Indicates the current state or condition of an entity’s branding, such as whether its brand identity has been defined, applied, updated, or is pending.
-
D.
brandEndorsement
Indicates that one entity publicly supports, recommends, or promotes another entity’s brand, product, or service.
-
E.
brand
Indicates that one entity is the commercial brand or label under which another entity (such as a product, service, or organization) is marketed or identified.
- 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_69f76db600b88190989abdf08fce3b27 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f7886b27f08190ab4580f949222c93 |
completed | May 3, 2026, 5:39 p.m. |
Created at: May 3, 2026, 3:59 p.m.