Triple
T15050636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ordubad uezd |
E379350
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Ordubad |
E379350
|
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: Ordubad | Statement: [Ordubad uezd, namedAfter, Ordubad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ordubad Context triple: [Ordubad uezd, namedAfter, Ordubad]
-
A.
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.
-
B.
Ordubad uezd
chosen
Ordubad uezd was an administrative district of the Russian Empire in the South Caucasus, located in the Erivan Governorate in the area of present-day Nakhchivan, Azerbaijan.
-
C.
Sarakhs
Sarakhs is a historic border city in northeastern Iran, known for its strategic location along ancient trade routes between Iran and Central Asia.
-
D.
Gudermes
Gudermes is a town in the Chechen Republic of Russia that serves as an important regional transport and administrative center.
-
E.
Balakan
Balakan is a town and district center in northwestern Azerbaijan, near the border with Georgia and Russia, known for its mountainous landscapes and agricultural production.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda8f71988190b4fe7f7de4ccb798 |
completed | April 15, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfd954548190b3f7c60d95403f3e |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3:01 a.m.