Triple
T21201129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tabari |
E522455
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Mazanderani |
—
|
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: Mazanderani | Statement: [Tabari, alternativeName, Mazanderani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mazanderani Context triple: [Tabari, alternativeName, Mazanderani]
-
A.
Mazanderani
chosen
Mazanderani is a Northwestern Iranian language spoken along Iran’s Caspian Sea coast, particularly in Mazandaran Province.
-
B.
Hamadan
Hamadan is an ancient city in western Iran, historically significant as a major center of Persian Jewish life and one of the oldest continuously inhabited cities in the region.
-
C.
Birjand
Birjand is a city in eastern Iran that serves as the capital of South Khorasan Province and is known for its historical forts and saffron production.
-
D.
Rasht
Rasht is a major city in northern Iran near the Caspian Sea, known as the capital of Gilan Province and a cultural and economic center of the region.
-
E.
Zarrin Shahr
Zarrin Shahr is an industrial city in Iran’s Isfahan Province, known for its steel production and location in the fertile Zayandeh River plain.
- 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73430c5a08190aeb6a62eec0f43a3 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 3:18 p.m.