Triple
T17938709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dignaga |
E448532
|
entity |
| Predicate | majorWork |
P4
|
FINISHED |
| Object | Alambanapariksa |
—
|
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: Alambanapariksa | Statement: [Dignaga, majorWork, Alambanapariksa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alambanapariksa Context triple: [Dignaga, majorWork, Alambanapariksa]
-
A.
Alambanapariksa
chosen
Alambanapariksa is a foundational Buddhist epistemological treatise that analyzes the nature of cognitive objects and perception, traditionally attributed to the Indian philosopher Dignaga.
-
B.
Aambalantu
Aambalantu is a dialect of the Ovambo language spoken by a subgroup of the Ovambo people in northern Namibia and southern Angola.
-
C.
Agni Pariksha
Agni Pariksha is a trial by fire in the Hindu epic Ramayana, in which Sita proves her purity and chastity.
-
D.
Kamalaalayam
Kamalaalayam is the sacred temple tank of the Tiruvarur Thyagaraja Temple, renowned for its lotus-filled waters and religious significance in Tamil Nadu.
-
E.
Aparan
Aparan is a small town in Armenia’s Aragatsotn Province, known for its proximity to Mount Aragats and its historic churches and monuments.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad9455fc81908bf595f9ed42c624 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 10:21 a.m.