Triple
T14839501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baghlan Province |
E348921
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Nahrin
Nahrin is a town and district center in northern Afghanistan known for its location in a seismically active, mountainous area of Baghlan Province.
|
E1121856
|
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: Nahrin | Statement: [Baghlan Province, hasCity, Nahrin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nahrin Context triple: [Baghlan Province, hasCity, Nahrin]
-
A.
Shela
Shela is a song by the American rock band Aerosmith, featured on their 1985 album "Done with Mirrors."
-
B.
Nahila
Nahila is a character from the novel "Gate of the Sun," which portrays the Palestinian experience through interwoven personal and historical narratives.
-
C.
Noor
Noor is a science fiction novel by Nnedi Okorafor that blends Africanfuturism with themes of identity, technology, and survival in a near-future Nigeria.
-
D.
Noor
Noor is the American-born widow of King Hussein who served as Queen consort of Jordan and became known for her humanitarian and peace-building work.
-
E.
Taysir
Taysir is an Arabic male given name meaning "facilitation" or "making things easier," commonly used across the Arab world.
- 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: Nahrin Triple: [Baghlan Province, hasCity, Nahrin]
Generated description
Nahrin is a town and district center in northern Afghanistan known for its location in a seismically active, mountainous area of Baghlan Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nahrin Target entity description: Nahrin is a town and district center in northern Afghanistan known for its location in a seismically active, mountainous area of Baghlan Province.
-
A.
Shela
Shela is a song by the American rock band Aerosmith, featured on their 1985 album "Done with Mirrors."
-
B.
Nahila
Nahila is a character from the novel "Gate of the Sun," which portrays the Palestinian experience through interwoven personal and historical narratives.
-
C.
Noor
Noor is a science fiction novel by Nnedi Okorafor that blends Africanfuturism with themes of identity, technology, and survival in a near-future Nigeria.
-
D.
Noor
Noor is the American-born widow of King Hussein who served as Queen consort of Jordan and became known for her humanitarian and peace-building work.
-
E.
Taysir
Taysir is an Arabic male given name meaning "facilitation" or "making things easier," commonly used across the Arab world.
- 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.