Triple
T10480772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urmia dialect |
E247162
|
entity |
| Predicate | spokenIn |
P2266
|
FINISHED |
| Object | Urmia |
E187908
|
NE FINISHED |
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: Urmia | Statement: [Urmia dialect, spokenIn, Urmia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urmia Context triple: [Urmia dialect, spokenIn, Urmia]
-
A.
Urmia
chosen
Urmia is a city in northwestern Iran, near Lake Urmia, known for its diverse ethnic population and historical significance in the West Azerbaijan province.
-
B.
Iravan
Iravan is a minor hero in the Indian epic Mahabharata, known as the son of the Pandava prince Arjuna and the Naga princess Ulupi, and revered in certain regional traditions for his sacrificial role in the Kurukshetra war.
-
C.
Shemakhan
Shemakhan is a fictional realm best known as the exotic homeland of the seductive Queen of Shemakha in Russian literature and opera.
-
D.
Margilan
Margilan is a historic city in eastern Uzbekistan renowned as a traditional center of silk production and trade along the Silk Road.
-
E.
Oshnavieh
Oshnavieh is a small city in northwestern Iran known for its Kurdish population and mountainous surroundings near the border with Iraq.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5095c5dc88190902582db28df01b4 |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8a02aa2748190902f5c08afd7dda9 |
completed | April 10, 2026, 7 a.m. |
Created at: April 6, 2026, 12:22 p.m.