Triple
T20931078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tahmineh |
E515470
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object | Samangan |
—
|
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: Samangan | Statement: [Tahmineh, workLocation, Samangan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samangan Context triple: [Tahmineh, workLocation, Samangan]
-
A.
Samangan Province
chosen
Samangan Province is a region in northern Afghanistan known for its mountainous terrain, historical sites, and predominantly rural communities.
-
B.
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.
-
C.
Tokhi
Tokhi is a prominent Pashtun tribe that forms part of the larger Ghilji tribal confederation in Afghanistan.
-
D.
Mardan
Mardan is a major city in northern Pakistan known as an important commercial and cultural center of the Khyber Pakhtunkhwa province.
-
E.
Balkh
Balkh is an ancient city in northern Afghanistan, historically a major center of Persian culture, trade, and Islamic scholarship.
- 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f6557e4881909ce932c3f538304a |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 12:49 p.m.