Triple
T17387639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saluan people |
E422727
|
entity |
| Predicate | ethnonym |
P4709
|
FINISHED |
| Object | Saluan |
—
|
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: Saluan | Statement: [Saluan people, ethnonym, Saluan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saluan Context triple: [Saluan people, ethnonym, Saluan]
-
A.
Saluan
chosen
Saluan is an Austronesian language spoken by the Saluan people primarily in Central Sulawesi, Indonesia.
-
B.
Sussala
Sussala was a medieval ruler of Kashmir from the Lohara dynasty, known for his turbulent reign marked by internal conflicts and efforts to consolidate royal authority.
-
C.
Sadali
Sadali is a small Italian town in the central-eastern part of Sardinia, known for its karst landscapes, waterfalls, and traditional pastoral culture.
-
D.
Salamansa
Salamansa is a coastal village on the island of São Vicente in Cape Verde, known for its fishing community and sandy beach.
-
E.
Sulien
Sulien is a Welsh saint traditionally venerated as a local holy figure associated with churches in Wales.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a8b66288190b29bb82eff761902 |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:45 a.m.