Triple
T19732264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanva Upanishads |
E473884
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Kanva shakha |
—
|
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: Kanva shakha | Statement: [Kanva Upanishads, associatedWith, Kanva shakha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kanva shakha Context triple: [Kanva Upanishads, associatedWith, Kanva shakha]
-
A.
Kanva Shakha
chosen
Kanva Shakha is a prominent Vedic recension or school of the Yajurveda, known for its distinct textual tradition and ritual interpretations within Hindu scripture.
-
B.
Kavak
Kavak is a district and town in Turkey’s Black Sea region, located within Samsun Province.
-
C.
Bamboo
Bamboo is a small rural village located in Saint Ann Parish on the northern coast of Jamaica.
-
D.
Bamboo
Bamboo is a fast-growing, woody grass known for its tall, hollow stems and widespread use in construction, crafts, and as an ornamental plant.
-
E.
Bambú
"Bambú" is a popular 1980s pop song by Spanish singer Miguel Bosé, known for its catchy melody and romantic lyrics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e651596b98819090bcaf05c7b74555 |
completed | April 20, 2026, 4:16 p.m. |
Created at: April 10, 2026, 1:47 p.m.