Triple
T5734061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giacomo Quarenghi |
E126455
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object | Pavlovsk |
E233354
|
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: Pavlovsk | Statement: [Giacomo Quarenghi, workLocation, Pavlovsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pavlovsk Context triple: [Giacomo Quarenghi, workLocation, Pavlovsk]
-
A.
Pavlovsk
chosen
Pavlovsk is a historic Russian town near Saint Petersburg, best known for its imperial palace and landscaped park that exemplify neoclassical architecture and design.
-
B.
Gatchina Park
Gatchina Park is a historic landscaped park in Gatchina, Russia, surrounding the former imperial residence and known for its picturesque lakes, pavilions, and romantic scenery.
-
C.
Kolpino
Kolpino is a town in the Kolpinsky District of Saint Petersburg, Russia, known as an industrial suburb with significant metallurgical and manufacturing enterprises.
-
D.
Tsarskoye Selo
Tsarskoye Selo is a former imperial residence near Saint Petersburg, Russia, famed for its opulent palaces, landscaped parks, and role as a cultural and historical center of the Russian Empire.
-
E.
Krylatskoye
Krylatskoye is a Moscow Metro station serving the Krylatskoye District in western Moscow, Russia.
- 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_69c0083082288190b7478cead6b5430a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02536706c8190a69665b75c8a38e9 |
completed | March 22, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e05a7e08190a79fb43aefdbea6b |
completed | March 22, 2026, 11:40 p.m. |
Created at: March 22, 2026, 3:47 p.m.