Triple
T19467923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uluka |
E487046
|
entity |
| Predicate | hasNotablePoet |
P4290
|
FINISHED |
| Object | Ranna |
—
|
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: Ranna | Statement: [Uluka, hasNotablePoet, Ranna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ranna Context triple: [Uluka, hasNotablePoet, Ranna]
-
A.
Ranna
chosen
Ranna was a prominent 10th-century Kannada poet, celebrated as one of the “three gems” of early Kannada literature for his influential epic and courtly works.
-
B.
Ranai
Ranai is the main town and administrative center of Indonesia’s remote Natuna Islands in the South China Sea.
-
C.
Aruni
Aruni is a revered Vedic sage known for his wisdom and role as a teacher in ancient Indian scriptures.
-
D.
Roha
Roha is a town in Maharashtra, India, known as an industrial and railway hub situated along the Kundalika River in the Raigad district.
-
E.
Ria
Ria is a feminine given name commonly used as a short form of longer names such as Hendrika, Maria, or Victoria in various European languages.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633e4b230819097c8804ee91988ea |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:39 p.m.