Triple
T3184745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsarskoye Selo |
E66671
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Gatchina |
E138901
|
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: Gatchina | Statement: [Tsarskoye Selo, near, Gatchina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gatchina Context triple: [Tsarskoye Selo, near, Gatchina]
-
A.
Gatchina
chosen
Gatchina is a historic Russian town near Saint Petersburg, known for its imperial palace complex and long association with the Romanov dynasty.
-
B.
Staraya Russa
Staraya Russa is a historic town in northwestern Russia known for its medieval heritage and mineral spa resorts.
-
C.
Pereiaslavl
Pereiaslavl was one of the principal urban centers of Kyivan Rus, serving as an important political, military, and cultural hub in medieval Eastern Europe.
-
D.
Votkinsk
Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
-
E.
Kostroma
Kostroma is a historic Russian city northeast of Moscow, known as part of the Golden Ring and for its well-preserved medieval architecture and monasteries.
- 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_69ad8587c1bc8190a2595f2c22ee1001 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6bfc4248190af320471688c60f0 |
completed | March 8, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28e4cdd2c8190a4b09e968b9d39be |
completed | March 12, 2026, 9:58 a.m. |
Created at: March 8, 2026, 3:06 p.m.