Triple
T21833674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lavukaleve language |
E539063
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Lavukaleve |
—
|
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: Lavukaleve | Statement: [Lavukaleve language, hasAlternativeName, Lavukaleve]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lavukaleve Context triple: [Lavukaleve language, hasAlternativeName, Lavukaleve]
-
A.
Lavukaleve
chosen
Lavukaleve is an indigenous Papuan language spoken in the Russell Islands of the Solomon Islands.
-
B.
Lohavan
Lohavan is a sacred forest region within the Vraja Mandala pilgrimage area associated with the pastimes of Lord Krishna in Hindu tradition.
-
C.
Alatala
Alatala is a settlement located within the Qakh District of Azerbaijan.
-
D.
Labungkari
Labungkari is a town in Indonesia’s Southeast Sulawesi province, known as an administrative and local economic center in the region.
-
E.
Larajasse
Larajasse is a rural commune in eastern France situated within the scenic Monts du Lyonnais range, known for its hilly landscapes and agricultural character.
- 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7a5eeb88190b58b5b6d363cd6e3 |
completed | April 28, 2026, 12:27 p.m. |
Created at: April 16, 2026, 6:55 p.m.