Triple
T36271458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OM (Orchestra Model) guitar |
E892683
|
entity |
| Predicate | isTemplateFor |
P103708
|
FINISHED |
| Object | many boutique OM‑style guitars |
—
|
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: many boutique OM‑style guitars | Statement: [OM (Orchestra Model) guitar, isTemplateFor, many boutique OM‑style guitars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTemplateFor Context triple: [OM (Orchestra Model) guitar, isTemplateFor, many boutique OM‑style guitars]
-
A.
isTemplateBased
chosen
Indicates that one entity is derived from, structured according to, or instantiated using another entity as a template.
-
B.
hasTemplate
Indicates that one entity uses, is based on, or is associated with a particular template defined by another entity.
-
C.
isTemplateLicense
Indicates that a given license functions as a template or standard pattern from which other licenses or license instances are derived.
-
D.
hasTemplateSystem
Indicates that one entity uses, is built upon, or is associated with a particular template-based system provided by another entity.
-
E.
hasComponentTemple
Indicates that an entity includes a temple as one of its constituent parts or substructures.
- 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_69f76e488f34819083e254dbe288c27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7ba6d06f48190a71b5a2f19e2232f |
completed | May 3, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.