Triple
T1828229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamina-class missile boat |
E40700
|
entity |
| Predicate | sensor |
P17204
|
FINISHED |
| Object | surface search radar |
—
|
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: surface search radar | Statement: [Hamina-class missile boat, sensor, surface search radar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sensor Context triple: [Hamina-class missile boat, sensor, surface search radar]
-
A.
hasSensor
chosen
Indicates that one entity is equipped with, contains, or uses a particular sensor.
-
B.
publicPerception
Indicates how an individual, group, or entity is viewed, judged, or regarded by the general public or society at large.
-
C.
sensitivityFeature
Indicates a relationship where one entity functions as a sensitivity-related characteristic, parameter, or attribute of another entity.
-
D.
vision
Indicates that an entity perceives another entity or object visually, using sight.
-
E.
detectorType
Indicates the specific kind or category of detector associated with an entity or measurement.
- 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_69a8864644bc8190b2358ab897194ac1 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb45402688190b9a535b14030c354 |
completed | March 7, 2026, 5:15 a.m. |
| PD | Predicate disambiguation | batch_69abafd6a9948190ac2b2743db6f8f69 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:32 p.m.