Triple
T13998560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | veena |
E336763
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Saraswati veena |
E336763
|
NE 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: Saraswati veena | Statement: [veena, hasVariant, Saraswati veena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saraswati veena Context triple: [veena, hasVariant, Saraswati veena]
-
A.
Chitrali sitar
The Chitrali sitar is a distinctive long-necked lute from Pakistan’s Chitral region, central to the musical heritage of the Kho people.
-
B.
veena
chosen
The veena is a traditional South Indian plucked string instrument, revered in classical Carnatic music and often associated with the Hindu goddess Saraswati.
-
C.
Shehnai
The shehnai is a traditional North Indian double-reed wind instrument, often played at weddings and religious ceremonies and known for its piercing yet auspicious sound.
-
D.
Dhol
The Dhol is a traditional double-headed drum widely used across India, especially in Assam, to provide powerful rhythmic accompaniment in folk and festive music.
-
E.
Shitara
Shitara is a rural town in central Japan known for its mountainous landscapes and traditional countryside character within Aichi Prefecture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb81b208190a961e49a02fa4140 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac9f1f6c8190af7ddac920661bd5 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:19 p.m.