Triple
T36381606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baoting Hlai |
E896059
|
entity |
| Predicate | userCommunitySize |
P72313
|
FINISHED |
| Object | small speaker 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 speaker community | Statement: [Baoting Hlai, userCommunitySize, small speaker community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: userCommunitySize Context triple: [Baoting Hlai, userCommunitySize, small speaker community]
-
A.
communitySize
chosen
Indicates the number of individuals or units that make up a given community.
-
B.
usedByCommunitySize
Indicates that something is utilized or adopted by a community characterized by a particular size or number of members.
-
C.
userCount
Indicates the number of users associated with or involved in a given context or entity.
-
D.
userPopulation
Indicates the total number of users associated with or served by a given system, service, or context.
-
E.
estimatedMemberCount
Indicates the approximate or predicted number of members associated with an entity.
- 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_69f76e51d358819092bbc5f119f49476 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bb3ff1b08190802b1063d55d3923 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a611a081908dd6aec1df3f4d7f |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:10 p.m.