Triple
T9505592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zand dynasty |
E229260
|
entity |
| Predicate | ethnicOrigin |
P194
|
FINISHED |
| Object | Lur |
E128422
|
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: Lur | Statement: [Zand dynasty, ethnicOrigin, Lur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lur Context triple: [Zand dynasty, ethnicOrigin, Lur]
-
A.
Lurs
chosen
Lurs are an Iranian ethnic group primarily inhabiting western and southwestern Iran, known for their distinct Luri language and rich tribal and pastoral traditions.
-
B.
Luri
Luri is a Southwestern Iranian language spoken primarily by the Lur people in western and southwestern Iran.
-
C.
Lurk
Lurk is a highly acclaimed Chinese espionage television drama series known for its intricate plotting and nuanced portrayal of undercover agents during the Chinese Civil War era.
-
D.
Luras
Luras is a small town in the Gallura region of northern Sardinia, Italy, known for its traditional stone architecture and nearby ancient olive trees.
-
E.
Larak
Larak was an ancient Sumerian city-state, known primarily from the Sumerian King List as an early center of kingship in Mesopotamia.
- 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_69ca847611c48190a28c028644198c75 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9852b7e48190a8f69cbde10d2858 |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a1de2d88190a6a10379d2297510 |
completed | April 4, 2026, 4:19 p.m. |
Created at: March 30, 2026, 7:57 p.m.