Triple
T23159321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magaramkentsky District |
E578535
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object |
Magaramkent
Magaramkent is a rural locality in the Republic of Dagestan, Russia, serving as a local administrative and cultural hub in the region.
|
E1574320
|
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: Magaramkent | Statement: [Magaramkentsky District, administrativeCenter, Magaramkent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magaramkent Context triple: [Magaramkentsky District, administrativeCenter, Magaramkent]
-
A.
Homayunshahr
Homayunshahr is a city in Iran best known as the birthplace of acclaimed filmmaker Asghar Farhadi.
-
B.
Sheberghan
Sheberghan is a city in northern Afghanistan that serves as a political and military stronghold of Uzbek leader Abdul Rashid Dostum.
-
C.
Karashahr
Karashahr is an ancient oasis town in Xinjiang, China, historically significant as a Silk Road hub and a key center of the Indo-European–speaking Tocharian culture.
-
D.
Tokhi
Tokhi is a prominent Pashtun tribe that forms part of the larger Ghilji tribal confederation in Afghanistan.
-
E.
Sharaqpur
Sharaqpur is a town in Pakistan’s Punjab province known for its religious significance and traditional Punjabi culture.
- 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: Magaramkent Triple: [Magaramkentsky District, administrativeCenter, Magaramkent]
Generated description
Magaramkent is a rural locality in the Republic of Dagestan, Russia, serving as a local administrative and cultural hub in the region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Magaramkent Target entity description: Magaramkent is a rural locality in the Republic of Dagestan, Russia, serving as a local administrative and cultural hub in the region.
-
A.
Homayunshahr
Homayunshahr is a city in Iran best known as the birthplace of acclaimed filmmaker Asghar Farhadi.
-
B.
Sheberghan
Sheberghan is a city in northern Afghanistan that serves as a political and military stronghold of Uzbek leader Abdul Rashid Dostum.
-
C.
Karashahr
Karashahr is an ancient oasis town in Xinjiang, China, historically significant as a Silk Road hub and a key center of the Indo-European–speaking Tocharian culture.
-
D.
Tokhi
Tokhi is a prominent Pashtun tribe that forms part of the larger Ghilji tribal confederation in Afghanistan.
-
E.
Sharaqpur
Sharaqpur is a town in Pakistan’s Punjab province known for its religious significance and traditional Punjabi culture.
- 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18eff965081909aaa6fc1910293e2 |
completed | April 29, 2026, 4:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c30a009a88190ace5fe645f0e9d23 |
completed | May 19, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_6a0c3433083081909b486004ed8ae017 |
completed | May 19, 2026, 9:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c352416508190a08f1d46ef3c4916 |
completed | May 19, 2026, 10:02 a.m. |
Created at: April 17, 2026, 4:02 p.m.