Triple
T29243959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | எட்டுத்தொகை |
E741384
|
entity |
| Predicate | numberOfComponentWorks |
P19198
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [எட்டுத்தொகை, numberOfComponentWorks, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfComponentWorks Context triple: [எட்டுத்தொகை, numberOfComponentWorks, 8]
-
A.
opusNumberOfComponentWork
Indicates that a specific opus number is assigned to a component (sub-)work within a larger musical or artistic work.
-
B.
hasComponentCount
chosen
Indicates that an entity is associated with a specific number of components it contains or comprises.
-
C.
componentCountBasis
Indicates the rule or criterion used to determine how the number of components in something is counted or calculated.
-
D.
typicalNumberOfComponents
Indicates the usual or standard count of distinct components that an entity is expected to have.
-
E.
numberOfModules
Indicates the total count of modules associated with 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_69f0911dd6fc819097d1abb287016489 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69ffe12ee59c8190bc7da386e6d5332d |
completed | May 10, 2026, 1:36 a.m. |
| PD | Predicate disambiguation | batch_69ffe0a138bc8190a3d4b48cd579e985 |
completed | May 10, 2026, 1:34 a.m. |
Created at: April 28, 2026, 12:32 p.m.