Triple
T22301385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Lurs |
E551265
|
entity |
| Predicate | subgroupOf |
P10
|
FINISHED |
| Object | Lurs |
—
|
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: Lurs | Statement: [Southern Lurs, subgroupOf, Lurs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lurs Context triple: [Southern Lurs, subgroupOf, Lurs]
-
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.
Lursa
Lursa is a recurring Klingon antagonist in the Star Trek franchise, known as one of the scheming Duras sisters who frequently challenge the Klingon Empire’s leadership.
-
C.
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.
-
D.
Lurö
Lurö is an alternative name for the Teressa language, a Nicobarese language spoken in India’s Nicobar Islands.
-
E.
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.
- 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157245ee481909a7a3397de3ae355 |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:41 p.m.