Triple
T10951327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LORAN |
E258732
|
entity |
| Predicate | signalPropagationMode |
P94939
|
FINISHED |
| Object | groundwave |
—
|
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: groundwave | Statement: [LORAN, signalPropagationMode, groundwave]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: signalPropagationMode Context triple: [LORAN, signalPropagationMode, groundwave]
-
A.
propagationMethod
Indicates the means or mechanism by which something spreads, reproduces, or is transmitted from one entity or location to another.
-
B.
signalProperty
Indicates that one entity has a specific characteristic, attribute, or feature related to a signal.
-
C.
signalingMode
chosen
Indicates the method or mechanism by which one entity communicates or transmits signals to another.
-
D.
transmissionPattern
Indicates how something is passed or spread from one entity to another, such as the mode or route of transmission.
-
E.
propagatorType
Indicates the specific method or model used to propagate or advance a state (such as position, condition, or effect) from one point in time or space to another.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770fc156c8190826e124c13ce7242 |
completed | April 9, 2026, 9:27 a.m. |
| PD | Predicate disambiguation | batch_69d72e874f48819096ffa878f90c7d5b |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:23 p.m.