Triple
T18399348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanatsujata |
E449950
|
entity |
| Predicate | associatedWithText |
P8272
|
FINISHED |
| Object | Sanatsujatiya |
—
|
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: Sanatsujatiya | Statement: [Sanatsujata, associatedWithText, Sanatsujatiya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanatsujatiya Context triple: [Sanatsujata, associatedWithText, Sanatsujatiya]
-
A.
Sanatsujata
chosen
Sanatsujata is a sage in the Indian epic Mahabharata known for delivering a profound philosophical discourse on the nature of the Self and immortality.
-
B.
Artsyz
Artsyz is a small town in southwestern Ukraine known for its agricultural surroundings and location within the historical region of Bessarabia.
-
C.
Inatsisartut
Inatsisartut is the unicameral parliament of Greenland, responsible for making laws and overseeing the autonomous territory’s government.
-
D.
Sanakhte
Sanakhte was an early ancient Egyptian pharaoh traditionally associated with the 3rd Dynasty and sometimes considered a predecessor or relative of Djoser.
-
E.
Artěl
Artěl was a Czech artists' and designers' cooperative active in the early 20th century that promoted modern applied arts and design.
- 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.