Triple
T5709449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hazarajat |
E125866
|
entity |
| Predicate | hasEthnonym |
P1435
|
FINISHED |
| Object | Hazara |
E22784
|
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: Hazara | Statement: [Hazarajat, hasEthnonym, Hazara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hazara Context triple: [Hazarajat, hasEthnonym, Hazara]
-
A.
Hazara
Hazara is a mountainous region in northern Pakistan, known for its diverse ethnic communities, strategic location near the Himalayas, and historical significance under various empires and states.
-
B.
Hazaras
chosen
Hazaras are an ethnic group primarily from central Afghanistan, distinguished by their Mongol-influenced ancestry, Shia Muslim majority, and use of Persian (Hazaragi) as their main language.
-
C.
Hazaragi
Hazaragi is a variety of Persian primarily spoken by the Hazara people of central Afghanistan and surrounding regions, distinguished by its unique phonology and significant Turkic and Mongolic influences.
-
D.
Hazarajat
Hazarajat is a mountainous central region of Afghanistan that serves as the traditional homeland of the Hazara people.
-
E.
Wakhi
Wakhi is an Eastern Iranian language traditionally spoken by the Wakhi people in the high mountain regions of Pakistan, Afghanistan, Tajikistan, and China.
- 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_69c0082d6fe48190b777fb383769e5c8 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0248c3dac8190824fca9ddde89665 |
completed | March 22, 2026, 5:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a159077081909114b09f16ad2a1a |
completed | March 23, 2026, 2:11 a.m. |
Created at: March 22, 2026, 3:46 p.m.