Triple
T7789880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nangarhar Province |
E187348
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Jalalabad |
E118245
|
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: Jalalabad | Statement: [Nangarhar Province, containsCity, Jalalabad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jalalabad Context triple: [Nangarhar Province, containsCity, Jalalabad]
-
A.
Jalalabad, Afghanistan
chosen
Jalalabad, Afghanistan is a major city in eastern Afghanistan near the Khyber Pass, known as a historic cultural and trade center of the region.
-
B.
Khudabad
Khudabad was a historic city in Sindh, Pakistan, that served as the political and cultural center of the Kalhora dynasty in the 18th century.
-
C.
Kandahar
Kandahar is a historic city in southern Afghanistan that has long served as a major political, cultural, and commercial center in the region.
-
D.
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.
-
E.
Quetta
Quetta is a major city in western Pakistan known as the provincial capital of Balochistan and a key commercial and military center near the Afghan border.
- 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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cae7ea13f08190a60c5f1863bce816 |
completed | March 30, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb139fdf188190b1c80dd6d008c34d |
completed | March 31, 2026, 12:21 a.m. |
Created at: March 30, 2026, 4:25 p.m.