Triple
T22111758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuhgiluyeh Lurs |
E546433
|
entity |
| Predicate | neighboringGroups |
P5965
|
FINISHED |
| Object | Mamasani 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: Mamasani Lurs | Statement: [Kuhgiluyeh Lurs, neighboringGroups, Mamasani Lurs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mamasani Lurs Context triple: [Kuhgiluyeh Lurs, neighboringGroups, Mamasani Lurs]
-
A.
Mamasani
chosen
Mamasani is a county-level city and administrative region in southwestern Iran known for its historical sites and tribal culture within Fars Province.
-
B.
Sardus Madesani
Sardus Madesani was the son of Italian Nobel Prize–winning novelist Grazia Deledda.
-
C.
Sahune
Sahune is a small commune in southeastern France’s Drôme department, known for its scenic setting along the Eygues River amid Provençal landscapes.
-
D.
Mangalesha
Mangalesha was a 7th-century Chalukya ruler of Badami known for his military campaigns and support of early rock-cut temple architecture in the Deccan.
-
E.
Lurs
Lurs are an Iranian ethnic group primarily inhabiting western and southwestern Iran, known for their distinct Luri language and rich tribal and pastoral traditions.
- 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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12949cc7881908898ca7dc130f57f |
completed | April 28, 2026, 9:40 p.m. |
Created at: April 16, 2026, 8:31 p.m.