Triple
T14839502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baghlan Province |
E348921
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Andarab
Andarab is a town in northeastern Afghanistan known for its strategic valley location and historical significance within the Hindu Kush region.
|
E1121857
|
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: Andarab | Statement: [Baghlan Province, hasCity, Andarab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andarab Context triple: [Baghlan Province, hasCity, Andarab]
-
A.
Aralar
Aralar is a mountainous massif in northern Spain known for its karst landscapes, beech forests, and cultural significance in the Basque Country.
-
B.
Bakhdida
Bakhdida is a historically Assyrian Christian town in northern Iraq, known for its ancient churches and location in the Nineveh Plains near Mosul.
-
C.
Dhiban
Dhiban is an archaeological site and modern town in Jordan, historically significant as the ancient Moabite city of Dibon.
-
D.
Razihi
Razihi is a highly divergent Arabic-related language spoken by a small community in the mountainous Jabal Razih region of northwestern Yemen.
-
E.
Kadiria
Kadiria is a town and commune located within Bouira Province in northern Algeria.
- 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: Andarab Triple: [Baghlan Province, hasCity, Andarab]
Generated description
Andarab is a town in northeastern Afghanistan known for its strategic valley location and historical significance within the Hindu Kush region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andarab Target entity description: Andarab is a town in northeastern Afghanistan known for its strategic valley location and historical significance within the Hindu Kush region.
-
A.
Aralar
Aralar is a mountainous massif in northern Spain known for its karst landscapes, beech forests, and cultural significance in the Basque Country.
-
B.
Bakhdida
Bakhdida is a historically Assyrian Christian town in northern Iraq, known for its ancient churches and location in the Nineveh Plains near Mosul.
-
C.
Dhiban
Dhiban is an archaeological site and modern town in Jordan, historically significant as the ancient Moabite city of Dibon.
-
D.
Razihi
Razihi is a highly divergent Arabic-related language spoken by a small community in the mountainous Jabal Razih region of northwestern Yemen.
-
E.
Kadiria
Kadiria is a town and commune located within Bouira Province in northern Algeria.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded28e40f08190b309d8ac6404d2fc |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe38a813b881908a71350073c8fc5c |
completed | May 8, 2026, 7:25 p.m. |
| NEDg | Description generation | batch_69fe5096b15481908f7794f9da78141a |
completed | May 8, 2026, 9:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe510d4164819080c4000af3e39bf8 |
completed | May 8, 2026, 9:09 p.m. |
Created at: April 10, 2026, 1:52 a.m.