Triple
T20758189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shatz |
E510901
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Shatsk |
—
|
NE NERFINISHED |
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: Shatsk | Statement: [Shatz, hasSpellingVariant, Shatsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shatsk Context triple: [Shatz, hasSpellingVariant, Shatsk]
-
A.
Shatsk
chosen
Shatsk is a small town in northwestern Ukraine known for its proximity to the Shatsk Lakes and surrounding national nature park.
-
B.
Pechenga Monastery
Pechenga Monastery is a historic Russian Orthodox monastic complex in the far northwest of Russia, known for its remote Arctic location and long, turbulent history near the Norwegian border.
-
C.
Lobnoye Mesto
Lobnoye Mesto is a historic stone platform on Moscow’s Red Square traditionally used for public proclamations and ceremonial events.
-
D.
Bogorodskoye
Bogorodskoye is a rural locality in Russia that serves as one of the settlements within Nikolaevsky District.
-
E.
Bogorodskoye
Bogorodskoye is a rural locality in Russia that serves as the main administrative hub of Ulchsky District in Khabarovsk Krai.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2464fb08190b6b141ca12d9f3f4 |
completed | April 21, 2026, 12:18 a.m. |
Created at: April 16, 2026, 12:35 p.m.