Triple
T10540601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paktika Province |
E248683
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object | Sharana |
E870992
|
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: Sharana | Statement: [Paktika Province, largestCity, Sharana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sharana Context triple: [Paktika Province, largestCity, Sharana]
-
A.
Sharana
chosen
Sharana is a small Afghan city that serves as the administrative and economic center of Paktika Province in southeastern Afghanistan.
-
B.
Fairuza
Fairuza is a feminine given name most famously borne by American actress Fairuza Balk.
-
C.
Limal
Limal is a residential district and former village within the city of Wavre in Walloon Brabant, Belgium.
-
D.
Asha
Asha is the given name of legendary Indian playback singer Asha Bhosle, renowned for her versatile and prolific contributions to Hindi cinema music.
-
E.
Asha
Asha is a central Zoroastrian and Iranian mythological concept representing truth, cosmic order, and righteousness that upholds the moral and natural structure of the universe.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a582be48190856c6f272eea4dcf |
completed | April 7, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b23b2988190b536d5ecb76298ff |
completed | April 10, 2026, 7:10 p.m. |
Created at: April 6, 2026, 12:32 p.m.