Triple
T12569532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Staritsky Uyezd |
E295563
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Staritsa |
E576596
|
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: Staritsa | Statement: [Staritsky Uyezd, administrativeCenter, Staritsa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Staritsa Context triple: [Staritsky Uyezd, administrativeCenter, Staritsa]
-
A.
Staritsa
chosen
Staritsa is a historic town in Tver Oblast, Russia, known for its medieval monasteries and role as a regional center in the upper Volga region.
-
B.
Yazhelbitsy
Yazhelbitsy is a rural locality in Russia known for its proximity to Mount Uzhin.
-
C.
Bogdanovka
Bogdanovka is a village in Ukraine known as the site of a World War II massacre of Jews and now commemorated as a Holocaust memorial location.
-
D.
Terekhovo
Terekhovo is a metro station on Moscow’s Big Circle Line, serving the Terekhovo area in the western part of the city.
-
E.
Luzhitsy
Luzhitsy is a rural village in northwestern Russia historically associated with the Votic people and their traditional language and culture.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954a422c88190a22cc34d2eac00ce |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbb096d881908dfd2a7126632d96 |
completed | May 3, 2026, 4:14 a.m. |
Created at: April 8, 2026, 11:50 p.m.