Triple
T34333914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comino coastline |
E881092
|
entity |
| Predicate | islandSizeContext |
P179119
|
FINISHED |
| Object | small island coastline |
—
|
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 island coastline | Statement: [Comino coastline, islandSizeContext, small island coastline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: islandSizeContext Context triple: [Comino coastline, islandSizeContext, small island coastline]
-
A.
islandSize
Indicates the size or area measurement associated with a particular island.
-
B.
islandSetting
Indicates that an event, scene, or situation takes place on or is set on an island.
-
C.
relativeSizeInArchipelago
Indicates the comparative size relationship of an entity relative to other entities within the same archipelago.
-
D.
islandDiameter
Indicates the measured maximum distance across an island, typically between its two most widely separated points.
-
E.
hasIslandDensity
Indicates that a location or region is characterized by a specific concentration or number of islands within a given area.
- 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_69f349ba96a08190b94887bae2d8ee49 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69f71c33edac8190a59f6ff19b265fc5 |
completed | May 3, 2026, 9:58 a.m. |
Created at: May 1, 2026, 1:58 a.m.