Triple
T31692784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goula |
E808836
|
entity |
| Predicate | thaatEquivalent |
P172050
|
FINISHED |
| Object | Bhairav (approximate, Hindustani) |
—
|
NE NERFINISHED |
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: Bhairav (approximate, Hindustani) | Statement: [Goula, thaatEquivalent, Bhairav (approximate, Hindustani)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thaatEquivalent Context triple: [Goula, thaatEquivalent, Bhairav (approximate, Hindustani)]
-
A.
thaatEquivalentInHindustani
chosen
Indicates that two musical elements are equivalent or correspond to the same thaat (parent scale) within the Hindustani music system.
-
B.
equivalentIn
Indicates that two entities are considered logically or functionally the same in meaning, status, or effect within a given context.
-
C.
equivalentInTibet
Indicates that two entities are considered equivalent or correspond to each other within the context of Tibet.
-
D.
hasExactImperialEquivalent
Indicates that one measurement or quantity has a directly corresponding and precisely equal value in the imperial system.
-
E.
languageEquivalent
Indicates that two linguistic expressions convey the same meaning or function across different languages or language varieties.
- 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_69f348ddcbc48190950cabcc25ff29b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa20a1588190a53533fc9764efb2 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:09 p.m.