Triple
T6099120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Indonesia |
E135949
|
entity |
| Predicate | ethnolinguisticDiversity |
P16608
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Central Indonesia, ethnolinguisticDiversity, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnolinguisticDiversity Context triple: [Central Indonesia, ethnolinguisticDiversity, high]
-
A.
ethnolinguisticGroups
Indicates a relationship where groups are categorized or associated based on shared ethnic and linguistic characteristics.
-
B.
languageDiversity
chosen
Indicates the degree to which multiple distinct languages are present and used within a given context or population.
-
C.
hasEthnolinguisticContext
Indicates that something is associated with, shaped by, or understood within a specific ethnolinguistic (cultural and language-based) context.
-
D.
ethnicPluralityOf
Indicates that one ethnic group constitutes the largest share of the population within a given place or entity, though not necessarily an absolute majority.
-
E.
sharesEthnicity
Indicates that two entities belong to the same ethnic group or share the same ethnic background.
- 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05a9a02888190ac201acd14c3fc31 |
completed | March 22, 2026, 9:09 p.m. |
| PD | Predicate disambiguation | batch_69c049f5ac988190b62ba565153aaa35 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:13 p.m.