Triple
T2973214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karen State |
E80330
|
entity |
| Predicate | isEthnicallyDiverse |
P42257
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Karen State, isEthnicallyDiverse, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEthnicallyDiverse Context triple: [Karen State, isEthnicallyDiverse, true]
-
A.
hasEthnicallyMixedPopulation
chosen
Indicates that a population is composed of people from multiple distinct ethnic groups rather than being ethnically homogeneous.
-
B.
numberOfEthnicGroupsRepresented
Indicates the count of distinct ethnic groups that are present or represented in a given context or entity.
-
C.
isMulticulturalCity
Indicates that a city is characterized by the presence and interaction of multiple cultural, ethnic, or linguistic communities.
-
D.
hasDiverseStudentBody
Indicates that an educational institution’s student population includes a wide range of backgrounds, characteristics, or identities.
-
E.
hasSignificantPopulationGroup
Indicates that an entity contains or is associated with a notable or substantial subgroup of a population, distinguished by shared characteristics or attributes.
- 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_69ad8b14ffe881908ffed62f9595c867 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9987bb6c8190adfb447b76276962 |
completed | March 8, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69ad96105a708190a9ec4838cbcb1207 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:58 p.m.