Triple
T16112512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southwestern Iran |
E390913
|
entity |
| Predicate | ethnicGroup |
P194
|
FINISHED |
| Object | Bakhtiari |
E321134
|
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: Bakhtiari | Statement: [Southwestern Iran, ethnicGroup, Bakhtiari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bakhtiari Context triple: [Southwestern Iran, ethnicGroup, Bakhtiari]
-
A.
Bakhtiari
Bakhtiari is a surname most prominently associated with David Bakhtiari, an American football offensive tackle in the NFL.
-
B.
Kermani
Kermani is a Persian-origin surname borne by various notable individuals, including writers, scholars, and public figures of Iranian descent.
-
C.
Bakhtiari tribe
chosen
The Bakhtiari tribe is a traditionally nomadic Iranian ethnic group from the Zagros Mountains, known for their pastoral lifestyle, rich cultural heritage, and historical role in Iran’s political and social life.
-
D.
Daylam
Daylam was a mountainous historical region in northern Iran, inhabited by the Daylamite people and known for its fierce warriors and relative autonomy from surrounding empires.
-
E.
Pishva
Pishva is a city in Tehran Province, Iran, known as an administrative and local commercial center for the surrounding region.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e20167ee1481909e56dc632bfc0fc5 |
completed | April 17, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeba90ffc81909d5eb8f0cfa9f147 |
completed | May 10, 2026, 2:21 a.m. |
Created at: April 10, 2026, 5 a.m.