Triple
T2962790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saab 340 AEW&C |
E80086
|
entity |
| Predicate | radarMounting |
P29518
|
FINISHED |
| Object | dorsal phased‑array antenna |
—
|
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: dorsal phased‑array antenna | Statement: [Saab 340 AEW&C, radarMounting, dorsal phased‑array antenna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: radarMounting Context triple: [Saab 340 AEW&C, radarMounting, dorsal phased‑array antenna]
-
A.
radarLocation
Indicates the geographic position where a radar system is installed or operating.
-
B.
radarType
Indicates the specific category or classification of radar associated with an entity.
-
C.
radarEquipment
Indicates that one entity is radar equipment used for detecting, tracking, or measuring objects relative to another entity.
-
D.
radarModel
Indicates that one entity is a radar system and the other is the specific model or type designation of that radar.
-
E.
mountingLocation
chosen
Indicates the physical position or surface on which something is attached, fixed, or installed.
- 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_69ad8b1341848190bd19dbf46892887d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9955e6488190bea170724d5fbfe8 |
completed | March 8, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_69ad960e71f8819088179d11248c6ed0 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:57 p.m.