Triple
T6812297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bowili language |
E156662
|
entity |
| Predicate | speakerCommunitySize |
P72313
|
FINISHED |
| Object | small community |
—
|
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: small community | Statement: [Bowili language, speakerCommunitySize, small community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: speakerCommunitySize Context triple: [Bowili language, speakerCommunitySize, small community]
-
A.
communitySize
chosen
Indicates the number of individuals or units that make up a given community.
-
B.
speakerCommunity
Indicates that two or more entities belong to or are associated with the same community of speakers (e.g., language, dialect, or speech group).
-
C.
userCount
Indicates the number of users associated with or involved in a given context or entity.
-
D.
communityAspect
Indicates that something pertains to, reflects, or influences the communal or social dimension of a group or community.
-
E.
communityUsage
Indicates how something is used, adopted, or engaged with by a particular community or group of people.
- 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_69c68828b26c819090fe9df7612bbc27 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d329861881909f65bd1017ea384b |
completed | March 27, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69c6d09bb4f881909bf20c188cb3e8e1 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:17 p.m.