Triple
T18399148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vedic prosody |
E449944
|
entity |
| Predicate | classifies |
P34022
|
FINISHED |
| Object | Tristubh metre |
—
|
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: Tristubh metre | Statement: [Vedic prosody, classifies, Tristubh metre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tristubh metre Context triple: [Vedic prosody, classifies, Tristubh metre]
-
A.
Tristubh
chosen
Tristubh is a principal Vedic poetic meter characterized by verses of four lines with eleven syllables each, widely used in ancient Sanskrit hymns.
-
B.
Anushtubh meter
The Anushtubh meter is a classical Sanskrit poetic meter of four eight-syllable lines, most famously used throughout the verses of the Ramayana and Mahabharata.
-
C.
Metera
Metera is an important archaeological site in Eritrea known for its ancient ruins and inscriptions reflecting the region’s early civilizations.
-
D.
Trishira
Trishira is a lesser-known rakshasa prince in the Hindu epic Ramayana, depicted as one of the valiant but ultimately slain sons of the demon king Ravana.
-
E.
Meteren
Meteren is a village in the Dutch province of Gelderland, located within the municipality of West Betuwe.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e518499b1481909c5de786c48faeba |
completed | April 19, 2026, 6 p.m. |
Created at: April 10, 2026, 10:46 a.m.