Triple
T15601411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zand Iran |
E375041
|
entity |
| Predicate | ethnicBase |
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 Iran, ethnicBase, Lur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lur Context triple: [Zand Iran, ethnicBase, 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.
Luro
Luro is an administrative post and rural area in eastern Timor-Leste known for its mountainous terrain and traditional villages.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e621fc4819097e8e85e7ddfdc6c |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56cf8e5c8190bf13114ab0a834de |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:12 a.m.