Triple
T1750239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freya radar |
E38422
|
entity |
| Predicate | rangeAgainstAircraft |
P32750
|
FINISHED |
| Object | approximately 100–120 km |
—
|
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: approximately 100–120 km | Statement: [Freya radar, rangeAgainstAircraft, approximately 100–120 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rangeAgainstAircraft Context triple: [Freya radar, rangeAgainstAircraft, approximately 100–120 km]
-
A.
appliesToAirspaceOf
Indicates that a rule, restriction, or condition is specifically relevant to, or in effect within, a particular airspace.
-
B.
hasNearbyGeneralAviationAirport
Indicates that an entity is located close to a general aviation airport, such that the airport can reasonably serve it for non-commercial or private air traffic.
-
C.
hasAirspace
Indicates that one entity possesses, controls, or is associated with a defined region of airspace relative to another entity or area.
-
D.
navigationClearanceType
Indicates the specific type or category of clearance granted for a navigation-related operation or movement.
-
E.
landingDistance
Indicates the required or actual distance needed for an aircraft or object to complete a landing from approach to full stop.
- F. None of above. chosen
Provenance (4 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba6a63f588190b53b39c6b97d74f4 |
completed | March 7, 2026, 4:16 a.m. |
| PD | Predicate disambiguation | batch_69aa61c7ef4c8190abec87c96a787d82 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69aba6a4c84c8190b3ce0bf69c2b5f6d |
completed | March 7, 2026, 4:16 a.m. |
Created at: March 4, 2026, 7:31 p.m.