Triple
T5522190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vyatka |
E144836
|
entity |
| Predicate | hasSettlementSuccessor |
P29462
|
FINISHED |
| Object | Kirov |
E548859
|
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: Kirov | Statement: [Vyatka, hasSettlementSuccessor, Kirov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kirov Context triple: [Vyatka, hasSettlementSuccessor, Kirov]
-
A.
Kirov
Kirov is the revolutionary pseudonym of Sergei Kirov, a prominent early Soviet political leader and close associate of Joseph Stalin.
-
B.
Kirov
chosen
Kirov is a town in Kaluga Oblast, Russia, known as a local administrative and industrial center.
-
C.
Kirovabad
Kirovabad was the Soviet-era name of the Azerbaijani city now known as Ganja, an important industrial and cultural center in western Azerbaijan.
-
D.
Votkinsk
Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
-
E.
Kuibyshev
Kuibyshev is the former Soviet name of the Russian city now known as Samara, a major industrial and administrative center on the Volga River.
- 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_69c008f873a481909b4d9f7e2db3c37d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f73cc8c8190a92a839c1ca804c7 |
completed | March 22, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16e69e9188190a4dd94c34657a74f |
completed | March 23, 2026, 4:46 p.m. |
Created at: March 22, 2026, 3:33 p.m.