Triple
T22734440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qalat-e Dokhtar |
E562225
|
entity |
| Predicate | hasNameVariant |
P457
|
FINISHED |
| Object | Qal‘eh Dokhtar |
—
|
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: Qal‘eh Dokhtar | Statement: [Qalat-e Dokhtar, hasNameVariant, Qal‘eh Dokhtar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qal‘eh Dokhtar Context triple: [Qalat-e Dokhtar, hasNameVariant, Qal‘eh Dokhtar]
-
A.
Qalat-e Dokhtar
chosen
Qalat-e Dokhtar is an ancient Sassanid-era fortress and castle complex located in Iran’s Fars Province.
-
B.
Musa Qal’eh
Musa Qal’eh is a town and district center in Helmand Province, southern Afghanistan, known for its strategic location and history of conflict.
-
C.
Birjand Castle
Birjand Castle is a historic fortress in Birjand, Iran, notable for its traditional mud-brick architecture and strategic hilltop location overlooking the city.
-
D.
Khoramdarreh
Khoramdarreh is a city in northwestern Iran known for its agricultural activities and location along major transit routes in Zanjan Province.
-
E.
Qalat
Qalat is a key urban center and provincial capital in southern Afghanistan, known for its strategic location and historical fortifications.
- 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_69e24550859c81908727d91efc3a81b4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1796e4970819090fb9c9926673938 |
completed | April 29, 2026, 3:22 a.m. |
Created at: April 17, 2026, 3:22 p.m.