Triple
T21456183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Azerbaijan |
E529344
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Aghjabadi
Aghjabadi is a town and administrative center in central Azerbaijan known for its agricultural economy and regional cultural significance.
|
E1485364
|
NE FINISHED |
How this triple was built (4 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: Aghjabadi | Statement: [Central Azerbaijan, hasCity, Aghjabadi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aghjabadi Context triple: [Central Azerbaijan, hasCity, Aghjabadi]
-
A.
Shamakhi
Shamakhi is a historic city in Azerbaijan known for its long-standing Jewish community and cultural significance in the region.
-
B.
Zakho
Zakho is a Kurdish-majority town in the Kurdistan Region of Iraq, near the Turkish border, known as a commercial hub and gateway for cross-border trade.
-
C.
Safdarabad
Safdarabad is a town in Pakistan’s Punjab province, known as a local commercial and agricultural center within the Sheikhupura region.
-
D.
Shemakhan
Shemakhan is a fictional realm best known as the exotic homeland of the seductive Queen of Shemakha in Russian literature and opera.
-
E.
Zangilan city
Zangilan city is an urban settlement in southwestern Azerbaijan that serves as the administrative center of the Zangilan District near the borders with Armenia and Iran.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Aghjabadi Triple: [Central Azerbaijan, hasCity, Aghjabadi]
Generated description
Aghjabadi is a town and administrative center in central Azerbaijan known for its agricultural economy and regional cultural significance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aghjabadi Target entity description: Aghjabadi is a town and administrative center in central Azerbaijan known for its agricultural economy and regional cultural significance.
-
A.
Shamakhi
Shamakhi is a historic city in Azerbaijan known for its long-standing Jewish community and cultural significance in the region.
-
B.
Zakho
Zakho is a Kurdish-majority town in the Kurdistan Region of Iraq, near the Turkish border, known as a commercial hub and gateway for cross-border trade.
-
C.
Safdarabad
Safdarabad is a town in Pakistan’s Punjab province, known as a local commercial and agricultural center within the Sheikhupura region.
-
D.
Shemakhan
Shemakhan is a fictional realm best known as the exotic homeland of the seductive Queen of Shemakha in Russian literature and opera.
-
E.
Zangilan city
Zangilan city is an urban settlement in southwestern Azerbaijan that serves as the administrative center of the Zangilan District near the borders with Armenia and Iran.
- F. None of above. chosen
Provenance (5 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d6da3c819082a495f5434c5554 |
completed | April 23, 2026, 9:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c90ebd488190ab2ee8f8af98d1ae |
completed | May 17, 2026, 1:56 p.m. |
| NEDg | Description generation | batch_6a09c9a6b84881908f9193b89ded7361 |
completed | May 17, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09caa391588190808eb3dcaff07803 |
completed | May 17, 2026, 2:03 p.m. |
Created at: April 16, 2026, 6:08 p.m.