Triple
T22761276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Task Force Helmand |
E562995
|
entity |
| Predicate | notableOperationArea |
P52790
|
FINISHED |
| Object | Nad Ali |
—
|
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 | Statement: [Task Force Helmand, notableOperationArea, Nad Ali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nad Ali Context triple: [Task Force Helmand, notableOperationArea, Nad Ali]
-
A.
Nad Ali
chosen
Nad Ali is a town and district in southern Afghanistan known for its agricultural landscape and irrigation projects within Helmand Province.
-
B.
Nasir
Nasir is a creative work associated with Wyoming Sessions, likely a music release or recording project.
-
C.
Nasir
Nasir is a masculine given name of Arabic origin commonly used in various Muslim-majority cultures.
-
D.
Nasrullah
Nasrullah was a highly influential Thoroughbred racehorse and sire whose bloodline has shaped modern flat and National Hunt racing.
-
E.
Sher Ali
Sher Ali is a common male given name of Pashto and Persian origin, meaning "Lion of Ali" and often associated with Muslim communities in South and Central Asia.
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a7c45b881908b29ba1439038789 |
completed | April 29, 2026, 3:26 a.m. |
Created at: April 17, 2026, 3:26 p.m.