Triple
T1766849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leningrad Oblast |
E38781
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Leningrad |
E90774
|
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: Leningrad | Statement: [Leningrad Oblast, namedAfter, Leningrad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leningrad Context triple: [Leningrad Oblast, namedAfter, Leningrad]
-
A.
Leningrad
chosen
Leningrad, now known as Saint Petersburg, is a major Russian city on the Baltic Sea that served as the imperial capital and endured a devastating World War II siege.
-
B.
Odintsovo
Odintsovo is a town in western Russia that serves as an important suburban center just outside Moscow.
-
C.
Brest Fortress
Brest Fortress is a historic 19th-century Russian fortress in Brest, Belarus, renowned for its fierce Soviet resistance during the early days of the German invasion in World War II.
-
D.
Shlisselburg
Shlisselburg is a historic Russian town near Saint Petersburg, best known for its strategic fortress and former political prison on Lake Ladoga.
-
E.
Rubtsovsk
Rubtsovsk is an industrial city in Altai Krai, Russia, known as the birthplace of Raisa Gorbacheva and for its role as a regional agricultural and machinery center.
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa646914048190bbe282a3d4768835 |
completed | March 6, 2026, 5:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3bc8fe8819085a8adaf9dcd5c1b |
completed | March 8, 2026, 10:10 p.m. |
Created at: March 4, 2026, 7:31 p.m.