Triple
T21238292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leninakan |
E523403
|
entity |
| Predicate | previousName |
P65
|
FINISHED |
| Object | Alexandropol |
—
|
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: Alexandropol | Statement: [Leninakan, previousName, Alexandropol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexandropol Context triple: [Leninakan, previousName, Alexandropol]
-
A.
Alexandropol uezd
chosen
Alexandropol uezd was an administrative district of the Russian Empire in the South Caucasus, centered on the town of Alexandropol (now Gyumri in Armenia).
-
B.
Elizavetgrad
Elizavetgrad was the former name of the city now known as Kropyvnytskyi, a regional center in central Ukraine that was part of the Russian Empire at the time of Grigory Zinoviev’s birth.
-
C.
Akhmeta
Akhmeta is a town in eastern Georgia known as a local center of the Kakheti region, situated near the foothills of the Greater Caucasus.
-
D.
Bilhorod
Bilhorod is a key urban center in the historical Sloboda Ukraine region, known for its regional administrative and cultural significance.
-
E.
Dzhankoi
Dzhankoi is a town in northern Crimea that serves as a key regional transport hub, particularly for rail connections across the peninsula and to mainland areas.
- 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_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73521eb7c8190b1b97b42d0d052c3 |
completed | April 21, 2026, 8:28 a.m. |
Created at: April 16, 2026, 3:46 p.m.