Triple
T19240479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rigveda Mandala 3 |
E481118
|
entity |
| Predicate | meterUsed |
P4875
|
FINISHED |
| Object | Jagati meter |
—
|
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: Jagati meter | Statement: [Rigveda Mandala 3, meterUsed, Jagati meter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jagati meter Context triple: [Rigveda Mandala 3, meterUsed, Jagati meter]
-
A.
Jagati
chosen
Jagati is a classical Vedic poetic meter characterized by longer lines, commonly used in hymns of the Rigveda.
-
B.
Jagat
Jagat is a small Himalayan village in Nepal that serves as a common stopover and gateway for trekkers heading into the Manaslu and Mansiri Himal regions.
-
C.
Jagadam
Jagadam is a 2007 Telugu-language action film directed by Sukumar, known for its gritty portrayal of gang culture and stylish narrative.
-
D.
ययाति
ययाति प्राचीन भारतीय पौराणिक कथाओं में वर्णित एक प्रसिद्ध चंद्रवंशी राजा हैं, जो अपनी युवावस्था की इच्छा और पुत्र से आयु-विनिमय की कथा के लिए जाने जाते हैं।
-
E.
Jadoo
Jadoo is a film featuring actor Tom Mison, best known for his role in the TV series "Sleepy Hollow."
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faf092fc8190bea90739bf7f6352 |
completed | April 20, 2026, 10:07 a.m. |
Created at: April 10, 2026, 1:26 p.m.