Triple
T5540812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mugham music |
E145281
|
entity |
| Predicate | mainCenter |
P4751
|
FINISHED |
| Object | Shusha |
E85623
|
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: Shusha | Statement: [Mugham music, mainCenter, Shusha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shusha Context triple: [Mugham music, mainCenter, Shusha]
-
A.
Stepanakert
Stepanakert is the largest city and administrative center of the disputed Nagorno-Karabakh region in the South Caucasus.
-
B.
Shusha uezd
chosen
Shusha uezd was an administrative district of the Russian Empire’s Elisavetpol Governorate, centered on the historically significant city of Shusha in the South Caucasus.
-
C.
Zangezur
Zangezur is a mountainous historical region in the South Caucasus, largely corresponding to today’s Syunik Province in southern Armenia and parts of neighboring territories.
-
D.
Khankendi
Khankendi is a city in the Nagorno-Karabakh region of the South Caucasus, internationally recognized as part of Azerbaijan and also known by its Armenian name Stepanakert.
-
E.
Ijevan
Ijevan is a town in northeastern Armenia known as the administrative center of the Tavush Province and noted for its surrounding forests, wine production, and historical sites.
- 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_69c008fa64888190adae56c8f9ea4031 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fc66cc08190b9b2a62098ecbdb1 |
completed | March 22, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0281bfcc48190a0e4e51b4dca5a4b |
completed | March 22, 2026, 5:34 p.m. |
Created at: March 22, 2026, 3:35 p.m.