Triple
T2042444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Afghanistan |
E44774
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object |
Farah city
Farah city is the capital of Farah Province in southwestern Afghanistan, serving as a regional center for trade and agriculture.
|
E228132
|
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: Farah city | Statement: [Southern Afghanistan, majorCity, Farah city]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farah city Context triple: [Southern Afghanistan, majorCity, Farah city]
-
A.
Badr City
Badr City is a planned satellite city in Egypt that forms part of the Greater Cairo metropolitan area, known for its industrial zones and residential developments.
-
B.
Nasirabad
Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
-
C.
Zaria
Zaria is a historic city in northern Nigeria known as an important center of Hausa culture, Islamic scholarship, and trade.
-
D.
Al-Kharj
Al-Kharj is a city in central Saudi Arabia, southeast of Riyadh, known for its agricultural production and growing urban development.
-
E.
Farwaniya
Farwaniya is a major residential and commercial district in Kuwait, known for its dense population and role as a key urban center near Kuwait City.
- 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: Farah city Triple: [Southern Afghanistan, majorCity, Farah city]
Generated description
Farah city is the capital of Farah Province in southwestern Afghanistan, serving as a regional center for trade and agriculture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Farah city Target entity description: Farah city is the capital of Farah Province in southwestern Afghanistan, serving as a regional center for trade and agriculture.
-
A.
Badr City
Badr City is a planned satellite city in Egypt that forms part of the Greater Cairo metropolitan area, known for its industrial zones and residential developments.
-
B.
Nasirabad
Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
-
C.
Zaria
Zaria is a historic city in northern Nigeria known as an important center of Hausa culture, Islamic scholarship, and trade.
-
D.
Al-Kharj
Al-Kharj is a city in central Saudi Arabia, southeast of Riyadh, known for its agricultural production and growing urban development.
-
E.
Farwaniya
Farwaniya is a major residential and commercial district in Kuwait, known for its dense population and role as a key urban center near Kuwait City.
- 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_69a889159ec481908f9e4472d9f480c7 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb95587348190bb5719faeaf0aa5d |
completed | March 7, 2026, 5:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae1ffbbf948190a89932013b463f85 |
completed | March 9, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69ae20946a288190a3bd2a19e3608e86 |
completed | March 9, 2026, 1:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae2109d17c819094a298a822064052 |
completed | March 9, 2026, 1:23 a.m. |
Created at: March 4, 2026, 7:39 p.m.