Triple
T14760643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parwan Province |
E346849
|
entity |
| Predicate | hasNotableTown |
P14082
|
FINISHED |
| Object | Bagram |
E708309
|
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: Bagram | Statement: [Parwan Province, hasNotableTown, Bagram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bagram Context triple: [Parwan Province, hasNotableTown, Bagram]
-
A.
Bagram Airfield
chosen
Bagram Airfield is a major U.S. and NATO military base in Afghanistan that served as a central hub for operations and logistics during the Afghanistan War.
-
B.
Kandahar
Kandahar is a historic city in southern Afghanistan that has long served as a major political, cultural, and commercial center in the region.
-
C.
Jalalabad, Afghanistan
Jalalabad, Afghanistan is a major city in eastern Afghanistan near the Khyber Pass, known as a historic cultural and trade center of the region.
-
D.
Khost Airport
Khost Airport is a regional airport in Khost Province, Afghanistan, serving as a key hub for domestic air travel and connectivity in the southeastern part of the country.
-
E.
Kandahar International Airport
Kandahar International Airport is a major airport in southern Afghanistan that serves both civilian flights and military operations.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f207dc819088a53f717736a121 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24b1ff0c81908d5dffbaf86c3ca3 |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:30 a.m.