Triple
T9826686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perovo |
E238671
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Perovo District |
E238671
|
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: Perovo District | Statement: [Perovo, locatedIn, Perovo District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perovo District Context triple: [Perovo, locatedIn, Perovo District]
-
A.
Braničevo District
Braničevo District is an administrative region in eastern Serbia along the Danube River, known for its historical heritage and important archaeological sites.
-
B.
Belgrade District
Belgrade District is an administrative district in Serbia that encompasses the capital city of Belgrade and its surrounding municipalities.
-
C.
Perovo
chosen
Perovo is a Moscow Metro station serving the Kalininsko–Solntsevskaya Line in the Perovo District of eastern Moscow.
-
D.
Nišava District
Nišava District is an administrative district in southeastern Serbia centered around the city of Niš and known as an important regional economic, cultural, and transportation hub.
-
E.
Šabac District
Šabac District is an administrative region in western Serbia centered around the city of Šabac, known for its historical significance and cultural institutions.
- 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_69ca84e0dd1881909800765d1e21f735 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb32370e8819087c85fb8328587be |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc88a86c819088f259a049eec4db |
completed | April 5, 2026, 2:44 a.m. |
Created at: March 30, 2026, 8:32 p.m.