Triple
T3640299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivan IV the Terrible |
E77171
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Kolomenskoye |
E256399
|
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: Kolomenskoye | Statement: [Ivan IV the Terrible, birthPlace, Kolomenskoye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kolomenskoye Context triple: [Ivan IV the Terrible, birthPlace, Kolomenskoye]
-
A.
Kolomenskaya
chosen
Kolomenskaya is a Moscow Metro station on the Zamoskvoretskaya Line, serving the Kolomenskoye area in the southern part of the city.
-
B.
Sergiyev Posad
Sergiyev Posad is a historic Russian town best known as a major center of Orthodox Christianity and home to the UNESCO-listed Trinity Lavra of St. Sergius monastery.
-
C.
Krylatskoye
Krylatskoye is a Moscow Metro station serving the Krylatskoye District in western Moscow, Russia.
-
D.
Pavlovsk
Pavlovsk is a historic Russian town near Saint Petersburg, best known for its imperial palace and landscaped park that exemplify neoclassical architecture and design.
-
E.
Kolpino
Kolpino is a town in the Kolpinsky District of Saint Petersburg, Russia, known as an industrial suburb with significant metallurgical and manufacturing enterprises.
- 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_69ad85dd0be48190b738990cb20c4731 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc32b83188190bfc0ed4dc8f66730 |
completed | March 8, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b52821cf088190811a201c31eadcdd |
completed | March 14, 2026, 9:19 a.m. |
Created at: March 8, 2026, 3:24 p.m.