Triple
T1055179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hazaras |
E22784
|
entity |
| Predicate | regionWithinAfghanistan |
P17086
|
FINISHED |
| Object | Ghazni Province |
E122197
|
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: Ghazni Province | Statement: [Hazaras, regionWithinAfghanistan, Ghazni Province]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ghazni Province Context triple: [Hazaras, regionWithinAfghanistan, Ghazni Province]
-
A.
Ghazni Province
chosen
Ghazni Province is a historically significant region in eastern Afghanistan known for its ancient city of Ghazni, once a major center of Islamic culture and trade.
-
B.
Bamyan Province
Bamyan Province is a central Afghan region known for its predominantly Hazara population and its historic Buddhist heritage, including the former giant Buddha statues carved into its cliffs.
-
C.
Daykundi Province
Daykundi Province is a central Afghan province known for its predominantly Hazara population and mountainous terrain.
-
D.
Nuristan Province
Nuristan Province is a remote, mountainous region in eastern Afghanistan known for its distinct Nuristani ethnic groups, unique Indo-Iranian languages, and rugged Hindu Kush terrain.
-
E.
Mardan
Mardan is a major city in northern Pakistan known as an important commercial and cultural center of the Khyber Pakhtunkhwa province.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bb7320f88190a8428946541df157 |
completed | March 1, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5ea233ec819081d81164e540fe71 |
completed | March 7, 2026, 5:21 p.m. |
Created at: March 1, 2026, 7:42 p.m.