Triple
T22761275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Task Force Helmand |
E562995
|
entity |
| Predicate | notableOperationArea |
P52790
|
FINISHED |
| Object | Gereshk |
—
|
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: Gereshk | Statement: [Task Force Helmand, notableOperationArea, Gereshk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gereshk Context triple: [Task Force Helmand, notableOperationArea, Gereshk]
-
A.
Gereshk
chosen
Gereshk is a strategically important town in southern Afghanistan known for its location along the Helmand River and the main highway connecting Kandahar to Herat.
-
B.
Shemshak
Shemshak is a mountain village and ski resort in the Alborz range of northern Iran, known for its steep slopes and popularity among advanced skiers.
-
C.
Shahgarh
Shahgarh is a town in the Sagar district of the central Indian state of Madhya Pradesh.
-
D.
Qorveh
Qorveh is a city in western Iran known as one of the main urban centers of Kurdistan Province.
-
E.
Girdkuh
Girdkuh was a significant mountain fortress associated with the Nizari Ismaili state during the Alamut period in medieval Iran.
- 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.