Triple
T21746775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nathalie Sarraute |
E536808
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Ivanovo-Voznesensk |
—
|
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: Ivanovo-Voznesensk | Statement: [Nathalie Sarraute, placeOfBirth, Ivanovo-Voznesensk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ivanovo-Voznesensk Context triple: [Nathalie Sarraute, placeOfBirth, Ivanovo-Voznesensk]
-
A.
Ivanovo
chosen
Ivanovo is a city in western Russia historically known as a major textile and industrial center, often nicknamed the "Russian Manchester."
-
B.
Balakovo
Balakovo is a city in Russia’s Saratov Oblast known as an industrial and energy hub on the Volga River.
-
C.
Balashov
Balashov is a town in southwestern Russia that serves as an important local administrative and transportation center within Saratov Oblast.
-
D.
Voronezh
Voronezh is a major city in southwestern Russia, situated on the Voronezh River and serving as an important cultural, industrial, and transportation center.
-
E.
Yegoryevsk
Yegoryevsk is a historic town in Russia, now part of Moscow Oblast, known for its 19th-century architecture and industrial heritage.
- 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_69e0c46df5448190b4322127ffc4c690 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a771b908190886cade242e263e4 |
completed | April 28, 2026, 2:24 a.m. |
Created at: April 16, 2026, 6:49 p.m.