Triple
T31713712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France exclusive economic zone |
E809397
|
entity |
| Predicate | maritimeZoneType |
P86884
|
FINISHED |
| Object | EEZ |
—
|
NE NERFINISHED |
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: EEZ | Statement: [France exclusive economic zone, maritimeZoneType, EEZ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maritimeZoneType Context triple: [France exclusive economic zone, maritimeZoneType, EEZ]
-
A.
isPartOfMaritimeZone
Indicates that one area or feature is contained within, or legally belongs to, a specified maritime zone.
-
B.
isMaritimeRegion
Indicates that a region is primarily associated with the sea or ocean, such as being coastal, oceanic, or otherwise defined by maritime characteristics or activities.
-
C.
hasMaritimeZoneContext
Indicates that the relationship or fact is specifically situated within, or qualified by, a particular maritime zone or maritime jurisdictional area.
-
D.
seaAreaDesignation
chosen
Indicates the specific legal or administrative sea area classification that has been assigned to a given marine region.
-
E.
marineRouteType
Indicates the specific kind or classification of a maritime route used for travel, transport, or navigation between locations.
- 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_69f348df4e048190a4a5a9932ada78d6 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6bbbef7a88190b0affdec1d41c1e0 |
completed | May 3, 2026, 3:06 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6cef208190bc5cd43d96127004 |
completed | May 3, 2026, 3:01 a.m. |
Created at: April 30, 2026, 11:16 p.m.