Triple
T19423345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stepa Stepanović |
E485915
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Kumodraž |
—
|
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: Kumodraž | Statement: [Stepa Stepanović, placeOfBirth, Kumodraž]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kumodraž Context triple: [Stepa Stepanović, placeOfBirth, Kumodraž]
-
A.
Kumodraž
chosen
Kumodraž is a suburban neighborhood of Belgrade, Serbia, known for its residential character and location within the municipality of Voždovac.
-
B.
Kuzminki
Kuzminki is a Moscow Metro station on the Tagansko–Krasnopresnenskaya Line serving the Kuzminki District in southeastern Moscow.
-
C.
Babreka
Babreka is one of Bulgaria’s famous Seven Rila Lakes, noted for its distinctive kidney-like shape and clear glacial waters in the Rila Mountains.
-
D.
Kamenjar
Kamenjar is a small settlement within the municipality of Temerin in the Vojvodina region of northern Serbia.
-
E.
Kameçvara
Kameçvara was a prominent king of the medieval Javanese Kediri Kingdom, remembered for his prosperous reign and association with the classic romance tale of Panji.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e632169d9c81909a88704c6beb8fe0 |
completed | April 20, 2026, 2:03 p.m. |
Created at: April 10, 2026, 1:37 p.m.