Triple
T20871829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kajaki District |
E513910
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Nad Ali District |
—
|
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: Nad Ali District | Statement: [Kajaki District, borderedBy, Nad Ali District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nad Ali District Context triple: [Kajaki District, borderedBy, Nad Ali District]
-
A.
Nad Ali District
chosen
Nad Ali District is an administrative district in southern Afghanistan known for its agricultural landscape and strategic location within Helmand Province.
-
B.
Khadir District
Khadir District is an administrative district located within Daykundi Province in central Afghanistan.
-
C.
Rukha District
Rukha District is an administrative district located within Afghanistan’s Panjshir Province, known for its mountainous terrain and strategic position in the Panjshir Valley region.
-
D.
Mianwali District
Mianwali District is an administrative region in northwestern Punjab, Pakistan, known for its diverse terrain that includes parts of the Salt Range and the Indus River basin.
-
E.
Miyan Nasheen District
Miyan Nasheen District is an administrative district located in the northern part of Kandahar Province in southern Afghanistan.
- 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_69e0b4f675cc8190b4e745225b62eb66 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c4649cf88190b3ad946576aa46aa |
completed | April 21, 2026, 12:27 a.m. |
Created at: April 16, 2026, 12:45 p.m.