Triple
T5568868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fernando de Noronha Archipelago |
E145946
|
entity |
| Predicate | numberOfIslandsAndIslets |
P55608
|
FINISHED |
| Object | 21 |
—
|
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: 21 | Statement: [Fernando de Noronha Archipelago, numberOfIslandsAndIslets, 21]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfIslandsAndIslets Context triple: [Fernando de Noronha Archipelago, numberOfIslandsAndIslets, 21]
-
A.
hasNumberOfIslets
Indicates the quantitative relationship specifying how many islets are associated with a given entity.
-
B.
hasNumberOfSmallerIslets
Indicates that an entity is associated with a specified count of smaller islets related to it.
-
C.
numberOfIslandsAndReefs
Indicates the count of islands and reefs associated with or contained within a given geographic or administrative entity.
-
D.
hasNumberOfInhabitedIslands
Indicates the relationship that specifies how many islands within a given area or jurisdiction are inhabited.
-
E.
numberOfConstituentIslands
chosen
Indicates the count of individual islands that collectively make up a larger island group or entity.
- 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_69c008fdae24819081aa002ad99cd966 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0203789688190a0bab723186214ad |
completed | March 22, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69c01b12826c8190969a584d0f53aa44 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:36 p.m.