Triple
T17146085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kunduz Province |
E416095
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object | Kunduz |
E752598
|
NE FINISHED |
How this triple was built (2 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: Kunduz | Statement: [Kunduz Province, largestCity, Kunduz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kunduz Context triple: [Kunduz Province, largestCity, Kunduz]
-
A.
Kunduz
chosen
Kunduz is a strategically important city in northern Afghanistan known for its contested control during the Afghan conflict and its role as a regional commercial and transport hub.
-
B.
Kandahar
Kandahar is a historic city in southern Afghanistan that has long served as a major political, cultural, and commercial center in the region.
-
C.
Khost
Khost is a city in eastern Afghanistan known as a regional commercial and administrative center near the Pakistan border.
-
D.
Jalalabad, Afghanistan
Jalalabad, Afghanistan is a major city in eastern Afghanistan near the Khyber Pass, known as a historic cultural and trade center of the region.
-
E.
Mazar-i-Sharif
Mazar-i-Sharif is a major city in northern Afghanistan known for its strategic importance, ethnic diversity, and the revered Blue Mosque, making it a focal point in the country’s political and military conflicts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2da515481909d19e421382eb755 |
completed | April 18, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01483158348190abb96b36caaf455a |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:36 a.m.