Triple
T7124945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | nagara |
E166035
|
entity |
| Predicate | hasTypicalPairing |
P69696
|
FINISHED |
| Object | one higher-pitched drum |
—
|
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: one higher-pitched drum | Statement: [nagara, hasTypicalPairing, one higher-pitched drum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalPairing Context triple: [nagara, hasTypicalPairing, one higher-pitched drum]
-
A.
isPairOf
Indicates that two entities are associated as a matched or corresponding pair within a defined context.
-
B.
canHavePairingSymmetry
Indicates that an entity is capable of exhibiting or supporting a specific type of pairing symmetry in its interactions or internal structure.
-
C.
commonPair
chosen
Indicates that two entities commonly occur together or are frequently associated as a pair in some shared context.
-
D.
supportsStereoPairing
Indicates that an entity is capable of being paired with another similar entity to function together as a synchronized stereo audio system.
-
E.
starPairing
Indicates a relationship where two stars are associated or grouped together as a pair, typically for observational, analytical, or classificatory purposes.
- 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_69c6888350588190870cd552b427a1cd |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e64c0f688190a9b7482d86c2f033 |
completed | March 27, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c7289881909f3b533c384f9ed4 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:44 p.m.