Triple
T2829957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian waters |
E62211
|
entity |
| Predicate | hasMaximumTerritorialSeaBreadth |
P7774
|
FINISHED |
| Object | 12 nautical miles |
—
|
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: 12 nautical miles | Statement: [Norwegian waters, hasMaximumTerritorialSeaBreadth, 12 nautical miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaximumTerritorialSeaBreadth Context triple: [Norwegian waters, hasMaximumTerritorialSeaBreadth, 12 nautical miles]
-
A.
maximumBreadthOfTerritorialSea
chosen
Indicates the greatest legally defined width of a state's territorial sea measured from its baseline.
-
B.
maximumBreadthOfExclusiveEconomicZone
Indicates the greatest width or extent of a state's exclusive economic zone from its baseline.
-
C.
maximumBreadthOfContiguousZone
Indicates the greatest width measured across a continuous, unbroken zone or area.
-
D.
appliesToTerritorialWatersOf
Indicates that something (such as a rule, status, or condition) is applicable within the territorial waters of a specified entity.
-
E.
EEZArea
Indicates that an area lies within a country's Exclusive Economic Zone (EEZ), where that state has special rights over marine resources and activities.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdebbde4881908dfa78e28c7018e0 |
completed | March 7, 2026, 8:15 a.m. |
| PD | Predicate disambiguation | batch_69abdd0acab881909e8c25cbef83678c |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:01 p.m.