Triple
T21815490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blanga |
E538595
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Blanga language |
—
|
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: Blanga language | Statement: [Blanga, hasAlternativeName, Blanga language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blanga language Context triple: [Blanga, hasAlternativeName, Blanga language]
-
A.
Blang language
chosen
The Blang language is a Mon–Khmer language spoken primarily by the Blang ethnic group in parts of Yunnan, China.
-
B.
Blablanga language
The Blablanga language is an Oceanic language spoken in the Solomon Islands, belonging to the Northwest Solomonic subgroup of the Austronesian language family.
-
C.
Blaan language
Blaan is an Austronesian language spoken by the Blaan people of southern Mindanao in the Philippines, known for its rich oral tradition and complex verb morphology.
-
D.
Banda-Linda language
The Banda-Linda language is a Banda language spoken by the Banda-Linda people of the Central African Republic.
-
E.
Kalanguya language
The Kalanguya language is an Austronesian language spoken by the Kalanguya people in the northern Luzon highlands of the Philippines.
- 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07cc99bbc8190bf074930f361af7d |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 16, 2026, 6:54 p.m.