Triple
T5407071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Messier 45 |
E120917
|
entity |
| Predicate | usedInLogoOf |
P29556
|
FINISHED |
| Object | Subaru automobile brand |
—
|
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: Subaru automobile brand | Statement: [Messier 45, usedInLogoOf, Subaru automobile brand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInLogoOf Context triple: [Messier 45, usedInLogoOf, Subaru automobile brand]
-
A.
logoUsedBy
Indicates that a particular logo is employed or displayed by a specific entity as part of its identity, branding, or representation.
-
B.
logoUsedIn
Indicates that a particular logo is employed or displayed within a specified context, medium, or artifact.
-
C.
usedInBrand
Indicates that something (such as a component, material, or element) is utilized as part of or within a particular brand.
-
D.
emblemUsedBy
chosen
Indicates that a particular emblem is adopted or employed by a specific entity as its symbol or identifying mark.
-
E.
logoUsedFrom
Indicates that a particular logo began being used by an entity starting from a specified date or time.
- 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_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8793ab3c81909992b257d462a554 |
completed | March 20, 2026, 5:44 p.m. |
| PD | Predicate disambiguation | batch_69bd8467e6b48190b9eaa9de67072e06 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:05 p.m.