Triple
T20923789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sofia Gubaidulina |
E515282
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Chistopol |
—
|
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: Chistopol | Statement: [Sofia Gubaidulina, placeOfBirth, Chistopol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chistopol Context triple: [Sofia Gubaidulina, placeOfBirth, Chistopol]
-
A.
Chistopol
chosen
Chistopol is a historic industrial town in Russia’s Tatarstan region, known for its watchmaking industry and location along the Kama River.
-
B.
Dimitrovgrad
Dimitrovgrad is a Bulgarian industrial city in the south-central part of the country, known for its post-World War II planned urban layout and location in the Upper Thracian Plain.
-
C.
Dimitrovgrad
Dimitrovgrad is a major industrial and scientific city in Russia, known especially for its nuclear research facilities and machine-building industries.
-
D.
Guryev
Guryev, now known as Atyrau, is a city in western Kazakhstan located near the Caspian Sea and the Ural River, historically significant as a regional oil and fishing center.
-
E.
Ulyanovka
Ulyanovka is an urban-type settlement in Leningrad Oblast, Russia, situated within the administrative boundaries of Tosnensky District.
- 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f6504c30819084e8cabab98d08f7 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 12:49 p.m.