Triple
T13139352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raška region |
E312170
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Sjenica |
E653500
|
NE FINISHED |
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: Sjenica | Statement: [Raška region, contains, Sjenica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sjenica Context triple: [Raška region, contains, Sjenica]
-
A.
Sjenica
chosen
Sjenica is a town in southwestern Serbia known for its harsh winters, high-altitude plateau setting, and production of the famous Sjenica cheese.
-
B.
Visarjan
Visarjan is the concluding ritual of Hindu festivals like Durga Puja, in which the deity’s idol is ceremonially immersed in water to symbolize her return to the divine realm.
-
C.
Sejnane
Sejnane is a town in northern Tunisia known for its traditional handmade pottery and rural landscapes.
-
D.
Nadežda
Nadežda is a South Slavic female given name, particularly common in Serbian and other Slavic cultures, derived from the word for "hope."
-
E.
Kameni cvijet
Kameni cvijet is a World War II memorial sculpture in Jasenovac, Croatia, commemorating victims of the Ustaše concentration camp.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981b6a4348190b9922ed255759078 |
completed | April 10, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e296e8e08190946a993a2b012204 |
completed | May 3, 2026, 5:52 a.m. |
Created at: April 9, 2026, 9:09 p.m.