Triple
T25924939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Changana language |
E653274
|
entity |
| Predicate | statusInMozambique |
P175196
|
FINISHED |
| Object | important regional language in the south |
—
|
LITERAL 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: important regional language in the south | Statement: [Changana language, statusInMozambique, important regional language in the south]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInMozambique Context triple: [Changana language, statusInMozambique, important regional language in the south]
-
A.
statusInZambia
Indicates the legal, social, or official standing or condition that something or someone has within the context of Zambia.
-
B.
statusInZimbabwe
Indicates the legal, social, or official standing or condition that an entity holds within the context of Zimbabwe.
-
C.
regionWithinMozambique
Indicates that one region is geographically located within the national boundaries of Mozambique.
-
D.
statusInAngola
Indicates the legal, social, or operational standing or condition that something or someone has within the context of Angola.
-
E.
statusInMali
Indicates the legal, social, or official condition or standing that an entity holds within the context of Mali.
- F. None of above. chosen
Provenance (4 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_69e7ab3eb9b881909c1390690551f868 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6cee547108190ad3bc84297d8f516 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6cee3604c81908a07eade2f39064e |
completed | May 3, 2026, 4:28 a.m. |
Created at: April 22, 2026, 8:35 a.m.