Triple
T3793123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cabinda |
E89703
|
entity |
| Predicate | hasHumanDevelopmentIndexRankWithinAngola |
P8150
|
FINISHED |
| Object | among highest |
—
|
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: among highest | Statement: [Cabinda, hasHumanDevelopmentIndexRankWithinAngola, among highest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHumanDevelopmentIndexRankWithinAngola Context triple: [Cabinda, hasHumanDevelopmentIndexRankWithinAngola, among highest]
-
A.
statusInAngola
Indicates the legal, social, or operational standing or condition that something or someone has within the context of Angola.
-
B.
humanDevelopmentIndexRank
chosen
Indicates the relative position of an entity in an ordered list based on its Human Development Index value compared to others.
-
C.
humanDevelopmentIndexCategory
Indicates the classification of an entity into a specific Human Development Index (HDI) level or category based on its overall human development score.
-
D.
isLessDevelopedThan
Indicates that one entity has a lower level of development, progress, or advancement compared to another entity.
-
E.
economyRankInAfricaByGDP
Indicates the relative position of an African country's economy when ordered by the size of its Gross Domestic Product (GDP) compared to other African countries.
- 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_69aed9597d6881909b6ee3b9de859223 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecefa3608190a7a20ed6df6a64b2 |
completed | March 9, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69aee743c8d08190a9f9c97b836bd703 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:15 p.m.