Triple
T38059751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanwick Oceanic FIR |
E950306
|
entity |
| Predicate | monitorsTrafficBetween |
P77923
|
FINISHED |
| Object | Europe and North America |
—
|
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: Europe and North America | Statement: [Shanwick Oceanic FIR, monitorsTrafficBetween, Europe and North America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monitorsTrafficBetween Context triple: [Shanwick Oceanic FIR, monitorsTrafficBetween, Europe and North America]
-
A.
regulatesTrafficBetween
Indicates that one entity controls, manages, or directs the flow of traffic occurring between two other entities or locations.
-
B.
hasTrafficMonitoring
chosen
Indicates that an entity is equipped with or associated with a system or capability for observing, measuring, or analyzing traffic conditions or flows.
-
C.
facilitatesTrafficFlowBetween
Indicates that one entity enables, supports, or improves the movement of traffic between two other entities or locations.
-
D.
managesTrafficFor
Indicates that one entity is responsible for directing, controlling, or regulating the flow of traffic for another entity or area.
-
E.
hasPortTraffic
Indicates that there is a flow or volume of traffic (such as ships, cargo, or passengers) associated with a particular port.
- 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_69f76f01e63c819093b6012fc974f35a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc44c7e73c819082d4fc1900fb9632 |
completed | May 7, 2026, 7:52 a.m. |
| PD | Predicate disambiguation | batch_69fbc8efffbc8190a139798ad1880526 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:21 p.m.