Triple
T4022291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surčin |
E91305
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Surčin (town) |
E91305
|
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: Surčin (town) | Statement: [Surčin, administrativeCenter, Surčin (town)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Surčin (town) Context triple: [Surčin, administrativeCenter, Surčin (town)]
-
A.
Surčin
chosen
Surčin is a municipality of Belgrade, Serbia, known for encompassing the area where Belgrade Nikola Tesla Airport is situated.
-
B.
Sedlčany
Sedlčany is a small historic town in the Czech Republic known for its traditional cheese production and location on the Mastník River.
-
C.
Šurany
Šurany is a small town in southwestern Slovakia known for its agricultural surroundings and historical roots in the Nitra region.
-
D.
Solkan
Solkan is a settlement in western Slovenia, known for its historic stone railway bridge over the Soča River and its proximity to the town of Nova Gorica.
-
E.
Hurbanovo
Hurbanovo is a small town in southern Slovakia known for its warm climate and its major brewery, Zlatý Bažant.
- 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_69aed9618b04819081750d979d2af098 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaccb2f48190a16a1ba6e938da85 |
completed | March 9, 2026, 4:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c7fd474819097766194ca8d165d |
completed | March 14, 2026, 11:54 a.m. |
Created at: March 9, 2026, 3:35 p.m.