Triple
T156767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pleiades |
E3196
|
entity |
| Predicate | symbolUsedBy |
P2937
|
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: [Pleiades, symbolUsedBy, Subaru automobile brand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolUsedBy Context triple: [Pleiades, symbolUsedBy, Subaru automobile brand]
-
A.
isUsedAs
Indicates that one entity serves a particular function, role, or purpose as another entity.
-
B.
usedWith
Indicates that one entity is typically or appropriately employed together with another entity in a combined or complementary use.
-
C.
nameUsedBy
chosen
Indicates that a particular name is employed or referenced by a specific entity.
-
D.
usedByBranch
Indicates that something (such as a resource, configuration, or component) is utilized or depended upon by a particular branch.
-
E.
usedOn
Indicates that one entity is applied to, operated on, or otherwise utilized in relation to another entity.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a258808ff08190a06b6206f635612b |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a2565ded588190a27319aaa0130b4f |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.