Triple
T13860185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koongurrukun people |
E333171
|
entity |
| Predicate | hasCountryType |
P111837
|
FINISHED |
| Object | tropical savanna |
—
|
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: tropical savanna | Statement: [Koongurrukun people, hasCountryType, tropical savanna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCountryType Context triple: [Koongurrukun people, hasCountryType, tropical savanna]
-
A.
hasCountry
Indicates that one entity possesses, is associated with, or is located within a specific country.
-
B.
hasCountryElement
Indicates that something includes, contains, or is composed of one or more country-related components or parts.
-
C.
hasCountryContext
Indicates that something is associated with, interpreted within, or relevant to a specific country or national context.
-
D.
eligibleCountry
Indicates that a given country meets the required criteria or conditions to qualify for a specified program, action, or status.
-
E.
hasComponentInCountry
Indicates that an entity has a component, part, or sub-unit that is located in a specified country.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02de38e48190b6ead95561031c32 |
completed | April 14, 2026, 9:03 a.m. |
| PD | Predicate disambiguation | batch_69dbc8691b608190a25a7c70a366b170 |
completed | April 12, 2026, 4:29 p.m. |
| PDg | Predicate description generation | batch_69dcad0eea9881908f71e1eed9a2446b |
completed | April 13, 2026, 8:45 a.m. |
Created at: April 9, 2026, 10:14 p.m.