Triple
T22933272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boengkoe |
E569503
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Boengkoe |
—
|
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: Boengkoe | Statement: [Boengkoe, hasAlternativeName, Boengkoe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boengkoe Context triple: [Boengkoe, hasAlternativeName, Boengkoe]
-
A.
Boengkoe
chosen
Boengkoe is an alternative name for the Bungku language, an Austronesian language spoken in Southeast Sulawesi, Indonesia.
-
B.
Toboali
Toboali is a coastal town and administrative center in the southern part of Bangka Island in Indonesia, known historically for its tin mining activities.
-
C.
Dobuan
Dobuan is an Austronesian language spoken on Dobu Island and nearby areas in Papua New Guinea.
-
D.
Lumban
Lumban is a municipality in the Philippine province of Laguna known for its traditional hand-embroidered textiles and scenic lakeside setting along Laguna de Bay.
-
E.
Kusno
Kusno was the birth name of Sukarno, the first President of Indonesia and a leading figure in the country’s independence movement.
- 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181337ff881909d90cf3f5bae7516 |
completed | April 29, 2026, 3:55 a.m. |
Created at: April 17, 2026, 3:44 p.m.