Triple
T3461143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Village |
E73025
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Krasnaya Sloboda, Quba |
E100097
|
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: Krasnaya Sloboda, Quba | Statement: [Red Village, alternativeName, Krasnaya Sloboda, Quba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krasnaya Sloboda, Quba Context triple: [Red Village, alternativeName, Krasnaya Sloboda, Quba]
-
A.
Krasnaya Sloboda
chosen
Krasnaya Sloboda is a historic all-Jewish settlement in northern Azerbaijan, known as one of the world's only exclusively Mountain Jewish towns.
-
B.
Qamishli
Qamishli is a predominantly Kurdish city in northeastern Syria that serves as a key cultural and political hub for Kurmanji-speaking Kurds.
-
C.
Yevlakh
Yevlakh is a city in central Azerbaijan that serves as an important regional transport and agricultural hub.
-
D.
Gudermes
Gudermes is a town in the Chechen Republic of Russia that serves as an important regional transport and administrative center.
-
E.
Kizlyar
Kizlyar is a town in the Republic of Dagestan, Russia, known historically as a frontier settlement and trading center in the North Caucasus region.
- 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_69ad85b224d481908ff8be51338d24ff |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbae745e081909007cd3a664c57f3 |
completed | March 8, 2026, 6:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3611ff950819081b49f5c75aa6e4d |
completed | March 13, 2026, 12:58 a.m. |
Created at: March 8, 2026, 3:17 p.m.