Triple
T32386975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LM-5B |
E827567
|
entity |
| Predicate | launchFrequencyCategory |
P55256
|
FINISHED |
| Object | low annual flight rate |
—
|
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: low annual flight rate | Statement: [LM-5B, launchFrequencyCategory, low annual flight rate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: launchFrequencyCategory Context triple: [LM-5B, launchFrequencyCategory, low annual flight rate]
-
A.
serviceFrequencyType
chosen
Indicates how often a service occurs or is scheduled within a given time period.
-
B.
laterFrequency
Indicates that one event, state, or action occurs with a lower frequency than another in a temporal sequence.
-
C.
broadcastFrequencyType
Indicates the type or category of frequency used for broadcasting a signal or transmission.
-
D.
fireFrequency
Indicates how often fire occurs or is expected to occur within a given area or time period.
-
E.
broadcastFrequency
Indicates the specific radio or transmission frequency at which a broadcast is sent or received.
- 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_69f349184e7481909c6c54428cb9cf12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 12:51 a.m.