Triple
T15269146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yolngu Matha |
E364974
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Manggalili |
E923371
|
NE FINISHED |
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: Manggalili | Statement: [Yolngu Matha, hasPart, Manggalili]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manggalili Context triple: [Yolngu Matha, hasPart, Manggalili]
-
A.
Manggalili
chosen
Manggalili is a Yolŋu Aboriginal Australian language associated with the Manggalili clan of northeast Arnhem Land in the Northern Territory.
-
B.
Mungaka
Mungaka is a Grassfields Bantu language spoken primarily in Cameroon, particularly associated with the Bamunka (Ndop) area.
-
C.
Mang’ati
Mang’ati is an alternative name for the Datooga, a Nilotic-speaking pastoralist ethnic group primarily living in northern Tanzania.
-
D.
Marangona
Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
-
E.
Mahlaing
Mahlaing is a town located in central Myanmar’s Mandalay Region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0094ca9ac8190a1f97a7b74c96cd5 |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef6fc290819096ef03f8ecae8876 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:14 a.m.