Triple
T18480566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The World Islands |
E451544
|
entity |
| Predicate | numberOfIslandsPlanned |
P83748
|
FINISHED |
| Object | approximately 300 |
—
|
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: approximately 300 | Statement: [The World Islands, numberOfIslandsPlanned, approximately 300]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfIslandsPlanned Context triple: [The World Islands, numberOfIslandsPlanned, approximately 300]
-
A.
approximateNumberOfIslands
chosen
Indicates an estimated or rough count of how many islands are present or associated with a given context.
-
B.
hasApproximateIslandsCount
Indicates that an entity is associated with an estimated or non-exact number of islands.
-
C.
numberOfConstituentIslands
Indicates the count of individual islands that collectively make up a larger island group or entity.
-
D.
hasNumberOfInhabitedIslands
Indicates the relationship that specifies how many islands within a given area or jurisdiction are inhabited.
-
E.
numberPlanned
Indicates that a specific quantity has been scheduled or intended for a future action or allocation.
- 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53066a7108190a50eda9b489c90ca |
completed | April 19, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69e469d671088190b619de96ea6f92ab |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:35 a.m.