Triple
T3596569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arafura Sea |
E76153
|
entity |
| Predicate | hasSeafloorType |
P4263
|
FINISHED |
| Object | continental shelf |
—
|
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: continental shelf | Statement: [Arafura Sea, hasSeafloorType, continental shelf]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeafloorType Context triple: [Arafura Sea, hasSeafloorType, continental shelf]
-
A.
seafloorType
chosen
Indicates the classification of the ocean bottom surface based on its physical or geological characteristics.
-
B.
hasSeamount
Indicates that an entity possesses, contains, or is associated with a seamount (an underwater mountain).
-
C.
isShallowSea
Indicates that a body of water is a shallow marine area, typically near coasts or continental shelves, rather than deep ocean.
-
D.
hasOceanTrench
Indicates that a body of water contains or is associated with a specific ocean trench within its area.
-
E.
hasTypeOfTectonicFeature
Indicates that one entity is characterized by or classified as a specific type of tectonic feature (such as a fault, plate boundary, or rift).
- 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_69ad85d8042081908af94a04c410dec0 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc19b26bc8190b3cc0613a1a98361 |
completed | March 8, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69adb83b66708190bb9d2f23d6fd308e |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:22 p.m.