Triple
T600583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brunei Darussalam |
E11482
|
entity |
| Predicate | hasHigh |
P17855
|
FINISHED |
| Object | GDP per capita |
—
|
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: GDP per capita | Statement: [Brunei Darussalam, hasHigh, GDP per capita]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHigh Context triple: [Brunei Darussalam, hasHigh, GDP per capita]
-
A.
hasLow
Indicates that an entity possesses a value, level, or amount of something that is below a defined or expected threshold.
-
B.
hasRich
Indicates that an entity possesses or is characterized by a high level of wealth, abundance, or valuable resources.
-
C.
has
Indicates that one entity possesses, owns, contains, or includes another entity as part of its state or composition.
-
D.
hasHeight
Indicates that one entity possesses a specific vertical measurement or stature.
-
E.
hasHighProfileOwnership
Indicates that an entity is owned, controlled, or significantly invested in by a prominent or high-profile individual or organization.
- F. None of above. chosen
Provenance (4 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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49e574444819087999404f3e3ffd9 |
completed | March 1, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69a49cf701e08190966d06b9ff4b582b |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49e55b2248190b0ae3d692c0fa143 |
completed | March 1, 2026, 8:15 p.m. |
Created at: March 1, 2026, 7:35 p.m.