Triple
T31416133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Africa Star |
E801397
|
entity |
| Predicate | claspIndicationOnRibbon |
P93026
|
FINISHED |
| Object | bronze rosette |
—
|
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: bronze rosette | Statement: [Africa Star, claspIndicationOnRibbon, bronze rosette]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: claspIndicationOnRibbon Context triple: [Africa Star, claspIndicationOnRibbon, bronze rosette]
-
A.
indicatesOnRibbon
chosen
Indicates that one entity is displayed or marked on a ribbon associated with another entity.
-
B.
claspIndicates
Indicates a relationship where one entity grasps, holds, or fastens onto another, typically in a secure or enclosing manner.
-
C.
claspWornAs
Indicates that a clasp is being used as a worn fastening or decorative attachment on an item.
-
D.
hasClasps
Indicates that one entity is equipped with or features clasps that fasten, secure, or attach it to another entity or its parts.
-
E.
clasps
Indicates that one entity grips, holds, or fastens onto another firmly, often by closing around it.
- 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_69f348c0dd648190bf2fd7642f78eb06 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 30, 2026, 8:43 p.m.