Triple
T11642502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MG 3 |
E276690
|
entity |
| Predicate | beltType |
P100156
|
FINISHED |
| Object | non-disintegrating DM1 metal link belt |
—
|
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: non-disintegrating DM1 metal link belt | Statement: [MG 3, beltType, non-disintegrating DM1 metal link belt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beltType Context triple: [MG 3, beltType, non-disintegrating DM1 metal link belt]
-
A.
bandType
Indicates the specific kind or category of band that an entity belongs to or is associated with.
-
B.
beltDesign
Indicates a relationship where one entity specifies or defines the design, style, or pattern applied to a belt.
-
C.
braceletType
Indicates the specific kind or category of bracelet that an entity is associated with.
-
D.
typeOfTie
Indicates the specific kind or category of relationship or connection that exists between two entities.
-
E.
hasStrapType
Indicates that an item is associated with or equipped with a specific type or style of strap.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a260ab488190ab1c00d9850f3096 |
completed | April 10, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69d85dd94bdc819091fa2ed33eb31624 |
completed | April 10, 2026, 2:18 a.m. |
| PDg | Predicate description generation | batch_69d87f30642c8190ad94fa061cde186b |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 8, 2026, 9:39 p.m.