Triple
T27199708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonda’ |
E683700
|
entity |
| Predicate | spokenInPartOf |
P162518
|
FINISHED |
| Object | northern Sulawesi |
—
|
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: northern Sulawesi | Statement: [Bonda’, spokenInPartOf, northern Sulawesi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spokenInPartOf Context triple: [Bonda’, spokenInPartOf, northern Sulawesi]
-
A.
spokenInPartOf
chosen
Indicates that a language or dialect is spoken within a specific subregion or part of a larger geographic or administrative area.
-
B.
spokenOfAs
Indicates that one entity is referred to, characterized, or talked about in a particular way by another entity or within a given context.
-
C.
isSpokenAlong
Indicates that something (typically a language or dialect) is used or spoken in the regions or areas that follow a particular path, boundary, or route.
-
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.
spokeAt
Indicates that a person delivered a talk, speech, or presentation at a particular event or location.
- 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_69eefad1fd5c8190a4a46ea6afe58bfa |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f62cd2ceb481908cd9fae52a542206 |
completed | May 2, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 9:35 a.m.