Triple
T25353997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AN/ALQ-218 receiver system |
E635769
|
entity |
| Predicate | typeOfSensor |
P123778
|
FINISHED |
| Object | passive receiver |
—
|
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: passive receiver | Statement: [AN/ALQ-218 receiver system, typeOfSensor, passive receiver]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfSensor Context triple: [AN/ALQ-218 receiver system, typeOfSensor, passive receiver]
-
A.
sensorClass
chosen
Indicates that one entity is classified as a type or category of sensor relative to another entity.
-
B.
hasSensor
Indicates that one entity is equipped with, contains, or uses a particular sensor.
-
C.
detectorType
Indicates the specific kind or category of detector associated with an entity or measurement.
-
D.
numberOfSensors
Indicates the quantity of sensors associated with or contained by a given entity.
-
E.
typeOfUnit
Indicates that one entity specifies the kind or category of measurement unit that the other entity belongs to.
- 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_69e75a9ac5d881909387ed766e20cd47 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 21, 2026, 1:34 p.m.