Triple
T22073692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Asian art |
E545471
|
entity |
| Predicate | hasCenter |
P35
|
FINISHED |
| Object | Bamiyan |
—
|
NE NERFINISHED |
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: Bamiyan | Statement: [Central Asian art, hasCenter, Bamiyan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bamiyan Context triple: [Central Asian art, hasCenter, Bamiyan]
-
A.
Bamyan city
chosen
Bamyan city is a historic town in central Afghanistan, known for its cultural significance to the Hazara people and as the former site of the giant Buddha statues carved into the surrounding cliffs.
-
B.
Tokhi
Tokhi is a prominent Pashtun tribe that forms part of the larger Ghilji tribal confederation in Afghanistan.
-
C.
Ghur
Ghur was a historical region in central Afghanistan that served as the mountainous heartland of the Ghurid dynasty.
-
D.
Kucha
Kucha was an ancient Buddhist oasis city-state on the northern Silk Road in what is now Xinjiang, China, known for its rich cultural and artistic heritage.
-
E.
Ghazni
Ghazni is a historic city in central Afghanistan that has long held strategic and military importance, including as a key battleground during the Anglo-Afghan conflicts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1288affb081908b64742f7bf467fa |
completed | April 28, 2026, 9:37 p.m. |
Created at: April 16, 2026, 8:28 p.m.