Triple
T780827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiribati |
E16491
|
entity |
| Predicate | EEZArea |
P19836
|
FINISHED |
| Object | over 3,500,000 square kilometres |
—
|
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: over 3,500,000 square kilometres | Statement: [Kiribati, EEZArea, over 3,500,000 square kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: EEZArea Context triple: [Kiribati, EEZArea, over 3,500,000 square kilometres]
-
A.
maximumBreadthOfExclusiveEconomicZone
Indicates the greatest width or extent of a state's exclusive economic zone from its baseline.
-
B.
seaAreaManagedBy
Indicates that a specified sea area falls under the management, control, or administrative responsibility of a particular authority or entity.
-
C.
maximumBreadthOfTerritorialSea
Indicates the greatest legally defined width of a state's territorial sea measured from its baseline.
-
D.
maximumBreadthOfContiguousZone
Indicates the greatest width measured across a continuous, unbroken zone or area.
-
E.
landArea
Indicates the total surface area of a piece of land associated with an entity, typically measured in standardized units (e.g., square meters, hectares).
- 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_69a4936ad1fc81908f190208059ccf78 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a90365648190ace53b0f0e87aa68 |
completed | March 1, 2026, 9 p.m. |
| PD | Predicate disambiguation | batch_69a4a50bd23081908908235b8ec9201e |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a8f09d108190b8c83a6169d65c0c |
completed | March 1, 2026, 9 p.m. |
Created at: March 1, 2026, 7:37 p.m.