Triple
T36271455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OM (Orchestra Model) guitar |
E892683
|
entity |
| Predicate | hasStandardStringCount |
P30141
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [OM (Orchestra Model) guitar, hasStandardStringCount, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStandardStringCount Context triple: [OM (Orchestra Model) guitar, hasStandardStringCount, 6]
-
A.
hasCommonStringCount
Indicates that two entities share a specified number of identical string values in common.
-
B.
hasStandardLetterCount
Indicates that an entity’s associated text or label contains a number of letters that matches a predefined standard or expected count.
-
C.
numberOfStrings
chosen
Indicates the quantity of strings associated with or contained by an entity.
-
D.
hasStrings
Indicates that an entity possesses or is associated with one or more strings (such as string-like components, text values, or string elements).
-
E.
hasStructureCount
Indicates the number of structures associated with or contained by a given 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_69f76e488f34819083e254dbe288c27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a003ffb548081908ba64fd2b570f42f |
completed | May 10, 2026, 8:21 a.m. |
| PD | Predicate disambiguation | batch_6a003fcecf788190a13dff38b9de3414 |
completed | May 10, 2026, 8:20 a.m. |
Created at: May 3, 2026, 4:09 p.m.