Triple
T36096205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Igla docking system |
E1044068
|
entity |
| Predicate | rangeMeasurementMethod |
P96354
|
FINISHED |
| Object | radio ranging |
—
|
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: radio ranging | Statement: [Igla docking system, rangeMeasurementMethod, radio ranging]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rangeMeasurementMethod Context triple: [Igla docking system, rangeMeasurementMethod, radio ranging]
-
A.
distanceMeasurementMethod
chosen
Indicates the method or technique used to determine or measure the distance between entities.
-
B.
measureType
Indicates the specific kind or category of measurement that characterizes how a quantity or value is assessed.
-
C.
speedMeasurementMethod
Indicates the method or technique used to measure the speed of an entity or process.
-
D.
measureOn
Indicates that a measurement is taken with respect to, or recorded using, a specified scale, instrument, or reference system.
-
E.
measureOf
Indicates that one entity serves as a quantitative or qualitative assessment or metric describing a property, extent, or magnitude of another entity.
- 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_69f76e32d60c8190ba781ffaaab4aa3d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b3e2f3c08190be4fd1ae4fa1266d |
completed | May 3, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bcc47081909fe7d592ac69006c |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.