Triple
T9726183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsaritsyno |
E235617
|
entity |
| Predicate | servesArea |
P82
|
FINISHED |
| Object | Tsaritsyno District |
E891461
|
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: Tsaritsyno District | Statement: [Tsaritsyno, servesArea, Tsaritsyno District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tsaritsyno District Context triple: [Tsaritsyno, servesArea, Tsaritsyno District]
-
A.
Tsaritsyno District
chosen
Tsaritsyno District is a residential and historical administrative area in southern Moscow, known for the nearby Tsaritsyno Palace and park complex.
-
B.
Butyrsky District
Butyrsky District is a residential and historically industrial administrative district in the north of Moscow, Russia.
-
C.
Pereslavsky District
Pereslavsky District is an administrative district in Yaroslavl Oblast, Russia, centered around the historic town of Pereslavl-Zalessky.
-
D.
Nevelsky District
Nevelsky District is an administrative and municipal district in western Russia, located within Pskov Oblast and centered around the town of Nevel.
-
E.
Gatchinsky District
Gatchinsky District is an administrative and municipal district in northwestern Russia known for its historical town of Gatchina and proximity to Saint Petersburg.
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e798c348190885b79d7dffc9d8d |
completed | April 1, 2026, 10:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e15435faa881909b1a124f8027deeb |
completed | April 16, 2026, 9:27 p.m. |
Created at: March 30, 2026, 8:21 p.m.