Triple
T36165122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fender bass guitars |
E1045976
|
entity |
| Predicate | availableStringCount |
P30141
|
FINISHED |
| Object | 5-string |
—
|
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: 5-string | Statement: [Fender bass guitars, availableStringCount, 5-string]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: availableStringCount Context triple: [Fender bass guitars, availableStringCount, 5-string]
-
A.
numberOfStrings
chosen
Indicates the quantity of strings associated with or contained by an entity.
-
B.
numberOfCounts
Indicates the total quantity or tally of discrete occurrences, items, or instances associated with an entity or event.
-
C.
numberOfUnits
Indicates the quantity or count of discrete units associated with an entity or relationship.
-
D.
variantCount
Indicates the number of distinct variants associated with a given entity or item.
-
E.
givesCountAs
Indicates that one entity’s act of giving is treated or recognized as equivalent to another specified giving action or contribution.
- 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_69f76e396bc88190b99d221bff9be27a |
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, 4:08 p.m.