Triple
T21685695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zal-e Zar |
E535222
|
entity |
| Predicate | associatedWithRegion |
P285
|
FINISHED |
| Object | Sistan |
—
|
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: Sistan | Statement: [Zal-e Zar, associatedWithRegion, Sistan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sistan Context triple: [Zal-e Zar, associatedWithRegion, Sistan]
-
A.
Sistan
chosen
Sistan is a historical and geographical region in southeastern Iran and southwestern Afghanistan, known for its arid climate, ancient civilizations, and strategic location along historic trade routes.
-
B.
Shastan
Shastan is a Native American language (or group of closely related languages) historically spoken by the Shasta people of northern California and southern Oregon.
-
C.
Khorasan
Khorasan is a historical region in northeastern Iran and surrounding areas that served as a major cultural and political center in various Persian and Islamic empires.
-
D.
Sogdia
Sogdia was an ancient Iranian-speaking region in Central Asia, renowned as a key hub of trade and culture along the Silk Road.
-
E.
Khurashan
Khurashan was a Georgian noblewoman known primarily as the wife of King Levan of Kakheti in the 16th century.
- 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96cb69f081908ed0c7ebea429898 |
completed | April 27, 2026, 5:03 p.m. |
Created at: April 16, 2026, 6:44 p.m.