Triple
T24493193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inner Coraline Islands |
E617704
|
entity |
| Predicate | typicalIslandSize |
P3859
|
FINISHED |
| Object | small 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: small islets | Statement: [Inner Coraline Islands, typicalIslandSize, small islets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalIslandSize Context triple: [Inner Coraline Islands, typicalIslandSize, small islets]
-
A.
islandSize
chosen
Indicates the size or area measurement associated with a particular island.
-
B.
islandDiameter
Indicates the measured maximum distance across an island, typically between its two most widely separated points.
-
C.
islandType
Indicates the specific classification or category of an island based on its characteristics or formation.
-
D.
hasIslandAreaApprox
Indicates that an island’s area is approximately equal to a specified value or falls within an approximate range.
-
E.
relativeSizeInArchipelago
Indicates the comparative size relationship of an entity relative to other entities within the same archipelago.
- 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_69e2d7f4e6bc8190aec540ae3b9ed7f2 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:22 a.m.