Triple
T3015282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jianghuai Mandarin |
E82321
|
entity |
| Predicate | hasSpeakerPopulationStatus |
P9067
|
FINISHED |
| Object | large regional speech 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: large regional speech community | Statement: [Jianghuai Mandarin, hasSpeakerPopulationStatus, large regional speech community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpeakerPopulationStatus Context triple: [Jianghuai Mandarin, hasSpeakerPopulationStatus, large regional speech community]
-
A.
haveSpeakerPopulation
Indicates that an entity has a specified number or population size of people who speak a particular language.
-
B.
hasPopulationStatus
chosen
Indicates the current demographic condition or classification of a population associated with an entity.
-
C.
hasApproximateTotalSpeakers
Indicates that an entity is associated with an estimated or roughly calculated number of total speakers, rather than an exact count.
-
D.
hasAudienceSize
Indicates the relationship between an entity and the number of people or size of group that receives, views, or engages with it.
-
E.
hasSpeakersIn
Indicates that an entity (such as an event, conference, or session) includes or is associated with speakers located in or belonging to a specified place or group.
- 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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a6b37288190a6965d183ca4b08b |
completed | March 8, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69ad961a97188190809dc73430a8eda8 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3 p.m.