Triple
T9829569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winston Lights |
E238746
|
entity |
| Predicate | marketingTermUsed |
P16497
|
FINISHED |
| Object | light |
—
|
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: light | Statement: [Winston Lights, marketingTermUsed, light]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketingTermUsed Context triple: [Winston Lights, marketingTermUsed, light]
-
A.
marketingUse
Indicates that something is used for marketing purposes, such as promotion, advertising, or brand communication.
-
B.
marketUse
Indicates that something is used, applied, or exploited within a market or commercial context.
-
C.
marketingNameOf
Indicates that one entity is the marketing or brand name used to promote or refer to another entity.
-
D.
marketingAs
Indicates that one entity is being presented, promoted, or branded to others as if it were another specified entity, role, or category.
-
E.
usedTerm
chosen
Indicates that one entity employed, referenced, or applied a particular term in some context.
- 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_69ca84e0dd1881909800765d1e21f735 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3282a2481908913addf2b3fa58b |
completed | April 2, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69cd03e30bc08190816c0a6d29c21b0f |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:32 p.m.