Triple
T21591387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | tar (Persian lute) |
E532786
|
entity |
| Predicate | plectrumMaterial |
P144076
|
FINISHED |
| Object | brass |
—
|
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: brass | Statement: [tar (Persian lute), plectrumMaterial, brass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plectrumMaterial Context triple: [tar (Persian lute), plectrumMaterial, brass]
-
A.
materialParameter
Indicates a relationship where a specific parameter or property is associated with, or characterizes, a material in a given context.
-
B.
materialEffect
Indicates that one material causes, influences, or brings about a change in the properties, behavior, or state of another material or system.
-
C.
pylonMaterial
Indicates that a pylon is made of, constructed from, or primarily composed of a specified material.
-
D.
exampleMaterial
Indicates that something serves as a representative or illustrative material or sample of something else.
-
E.
sphereMaterial
Indicates that a sphere has or is composed of a specified material.
- 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eefaddc8508190950b31e2df865ad1 |
completed | April 27, 2026, 5:57 a.m. |
| PD | Predicate disambiguation | batch_69e632109d048190b4ac3f14fe48d1a0 |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e63384a8fc819084c596bb53a3a1db |
completed | April 20, 2026, 2:09 p.m. |
Created at: April 16, 2026, 6:32 p.m.