Triple
T21431373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malango |
E528692
|
entity |
| Predicate | glottologName |
P6521
|
FINISHED |
| Object | Malango |
—
|
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: Malango | Statement: [Malango, glottologName, Malango]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malango Context triple: [Malango, glottologName, Malango]
-
A.
Malango
chosen
Malango is an Oceanic language spoken in the Solomon Islands, closely related to and geographically adjacent to the Ghari language.
-
B.
Mangaliso
Mangaliso is the middle name of Robert Sobukwe, the prominent South African anti-apartheid activist and founding leader of the Pan Africanist Congress.
-
C.
Mangilao
Mangilao is a village on the eastern side of Guam known for hosting the University of Guam and Guam Community College.
-
D.
Letang
Letang is a notable town in eastern Nepal’s Morang District, recognized as a local commercial and administrative center.
-
E.
Letang
Letang is the surname of Kris Letang, a professional ice hockey defenseman best known for his long career with the NHL’s Pittsburgh Penguins.
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b3ec70f08190b84c4f747cfb290f |
completed | April 22, 2026, 11:41 a.m. |
Created at: April 16, 2026, 5:49 p.m.