Triple
T22933893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balantak language |
E569520
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Balantakese |
—
|
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: Balantakese | Statement: [Balantak language, hasAlternativeName, Balantakese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balantakese Context triple: [Balantak language, hasAlternativeName, Balantakese]
-
A.
Boliniella
Boliniella is a genus of fungi classified within the family Boliniaceae.
-
B.
Balansia
Balansia is a genus of parasitic fungi in the family Clavicipitaceae, known for infecting grasses and other plants.
-
C.
Balantak
chosen
Balantak is an Austronesian language of central Sulawesi, Indonesia, closely related to and often grouped with the Saluan language.
-
D.
Beroe
Beroe is a minor figure in Greek mythology, known as a daughter or attendant of Aphrodite associated with love and sometimes with the city of Berytus (modern Beirut).
-
E.
Taroa
Taroa is the main settlement and administrative center of Maloelap Atoll in the Marshall Islands, known historically for its World War II-era Japanese airbase.
- 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_69e24590862c8190858f180ad302adab |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18134484c8190b7311606c17d058d |
completed | April 29, 2026, 3:55 a.m. |
Created at: April 17, 2026, 3:44 p.m.