Triple
T21856745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagapasha |
E539647
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | nagas |
—
|
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: nagas | Statement: [Nagapasha, associatedWith, nagas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: nagas Context triple: [Nagapasha, associatedWith, nagas]
-
A.
NAGA
NAGA is a cryptocurrency and social trading platform that enables users to trade digital assets, stocks, and other financial instruments while integrating social networking features.
-
B.
Nag
Nag is a deadly male cobra and primary antagonist in Rudyard Kipling’s short story “Rikki-Tikki-Tavi,” plotting with his mate Nagaina to kill the human family and their mongoose protector.
-
C.
Nagas
chosen
The Nagas are a class of serpent-like supernatural beings in Hindu and Buddhist mythology, often associated with water, the underworld, and hidden wisdom.
-
D.
Na-Ga
Na-Ga is a Japanese illustrator and character designer best known for his work with the visual novel studio Key, including designs for series like Angel Beats! and Little Busters!.
-
E.
Nagapasha
Nagapasha is a mythical serpent-noose weapon from Hindu epics, famed for binding its targets with powerful, inescapable snake bonds.
- 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_69e0c47829648190bbe2d1d7033768ec |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0d636dc708190be34bb7ea526cfac |
completed | April 28, 2026, 3:45 p.m. |
Created at: April 16, 2026, 6:56 p.m.