Triple
T21456198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Azerbaijan |
E529344
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Dashkasan
Dashkasan is a city in western Azerbaijan known for its mountainous surroundings and mining industry.
|
E1485372
|
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: Dashkasan | Statement: [Central Azerbaijan, hasCity, Dashkasan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dashkasan Context triple: [Central Azerbaijan, hasCity, Dashkasan]
-
A.
Dashanana
Dashanana is an epithet of the demon-king Ravana from the Hindu epic Ramayana, highlighting his legendary form with ten heads and immense power.
-
B.
Darsham
Darsham is a small rural village and civil parish in the county of Suffolk in eastern England.
-
C.
Dinsho
Dinsho is a small town in Ethiopia’s Bale Mountains region, known as a gateway to Bale Mountains National Park and a base for trekking and wildlife viewing.
-
D.
Khasadar
Khasadar is a traditional tribal police force in Pakistan’s former Federally Administered Tribal Areas, responsible for maintaining local law and order under tribal customs.
-
E.
Daxam
Daxam is a fictional planet in the DC Comics universe, home to the xenophobic Daxamite race whose powers resemble those of Kryptonians under a yellow sun.
- 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: Dashkasan Triple: [Central Azerbaijan, hasCity, Dashkasan]
Generated description
Dashkasan is a city in western Azerbaijan known for its mountainous surroundings and mining industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dashkasan Target entity description: Dashkasan is a city in western Azerbaijan known for its mountainous surroundings and mining industry.
-
A.
Dashanana
Dashanana is an epithet of the demon-king Ravana from the Hindu epic Ramayana, highlighting his legendary form with ten heads and immense power.
-
B.
Darsham
Darsham is a small rural village and civil parish in the county of Suffolk in eastern England.
-
C.
Dinsho
Dinsho is a small town in Ethiopia’s Bale Mountains region, known as a gateway to Bale Mountains National Park and a base for trekking and wildlife viewing.
-
D.
Khasadar
Khasadar is a traditional tribal police force in Pakistan’s former Federally Administered Tribal Areas, responsible for maintaining local law and order under tribal customs.
-
E.
Daxam
Daxam is a fictional planet in the DC Comics universe, home to the xenophobic Daxamite race whose powers resemble those of Kryptonians under a yellow sun.
- 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.