Triple
T14565585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pratas Island Lighthouse |
E341775
|
entity |
| Predicate | surroundingWatersUse |
P44236
|
FINISHED |
| Object | international shipping lanes |
—
|
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: international shipping lanes | Statement: [Pratas Island Lighthouse, surroundingWatersUse, international shipping lanes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surroundingWatersUse Context triple: [Pratas Island Lighthouse, surroundingWatersUse, international shipping lanes]
-
A.
hasNearbyWatersUsedBy
Indicates that a body of water located near an entity is utilized or accessed by another specified entity.
-
B.
waterbodyUsedFor
chosen
Indicates that a particular water body is utilized for a specific purpose, activity, or function.
-
C.
hasSurroundingWaters
Indicates that one entity is bordered or encircled by bodies of water associated with another entity.
-
D.
usesSurfaceWater
Indicates that one entity relies on or draws from surface water sources (such as rivers, lakes, or reservoirs) for its activities or needs.
-
E.
hasWaterfrontUse
Indicates that an entity is used, designated, or suitable for activities or purposes directly related to a waterfront or shoreline area.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb38c6350819091090ffd15772f6f |
completed | April 14, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69de5c57489c8190b57917be1dba6ae6 |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:23 a.m.