Triple
T7539488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fournoi Korseon |
E178236
|
entity |
| Predicate | hasIslets |
P77703
|
FINISHED |
| Object | numerous smaller islets |
—
|
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: numerous smaller islets | Statement: [Fournoi Korseon, hasIslets, numerous smaller islets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIslets Context triple: [Fournoi Korseon, hasIslets, numerous smaller islets]
-
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.
hasSisterIsland
Indicates that one island is considered a sister island of another, typically implying a special paired or closely associated relationship between them.
-
D.
hasIsland
Indicates that one entity possesses, contains, or includes an island as part of its domain, territory, or structure.
-
E.
hasSugarMills
Indicates that one entity possesses, contains, or is associated with one or more sugar mills.
- 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_69c69f2be3888190a6667a27f8f195e9 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f87280f0819097d4ffc2e1b62cf8 |
completed | March 27, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d8eedc81908c1ae421e0e63798 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f5cea2748190afd607ef93e8d66c |
completed | March 27, 2026, 9:25 p.m. |
Created at: March 27, 2026, 3:48 p.m.