Triple
T24020761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tonga language (Mozambique) |
E594812
|
entity |
| Predicate | spokenInOrNear |
P109887
|
FINISHED |
| Object | Inhambane Province |
—
|
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: Inhambane Province | Statement: [Tonga language (Mozambique), spokenInOrNear, Inhambane Province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spokenInOrNear Context triple: [Tonga language (Mozambique), spokenInOrNear, Inhambane Province]
-
A.
spokenNear
Indicates that one entity spoke in close physical proximity to another entity or location.
-
B.
spokenInLocality
chosen
Indicates that a language, dialect, or speech form is used or spoken within a specific locality or geographic area.
-
C.
isSpokenAround
Indicates that something (such as a language, phrase, or expression) is commonly spoken in the vicinity of, or within the general area surrounding, a particular place or entity.
-
D.
possiblySpokenAt
Indicates that an utterance or speech event may have occurred at a particular time or location, but this association is uncertain or not definitively confirmed.
-
E.
spokenInCounty
Indicates that a particular language or dialect is spoken within the geographic area of a specified county.
- F. None of above.
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_69e288be2c288190a3a46006945557f7 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d5aaf8588190b266557d573504b8 |
completed | April 29, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:43 p.m.