Triple
T594728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corvallis Municipal Airport |
E17353
|
entity |
| Predicate | hasCommunicationFrequency |
P15845
|
FINISHED |
| Object | CTAF/UNICOM 122.8 MHz |
—
|
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: CTAF/UNICOM 122.8 MHz | Statement: [Corvallis Municipal Airport, hasCommunicationFrequency, CTAF/UNICOM 122.8 MHz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommunicationFrequency Context triple: [Corvallis Municipal Airport, hasCommunicationFrequency, CTAF/UNICOM 122.8 MHz]
-
A.
meetingFrequency
Indicates how often a meeting or recurring gathering takes place over a given period.
-
B.
communicationMode
Indicates the method or channel through which communication between entities is carried out.
-
C.
hasInteraction
Indicates that there is some form of interaction or mutual action occurring between the related entities.
-
D.
hasTeleconnectionsWith
Indicates a relationship where changes or variations in one system, region, or variable are statistically linked to corresponding changes in another, often distant, system, region, or variable.
-
E.
communicationChannel
Indicates a medium or method through which information is transmitted between parties.
- F. None of above. chosen
Provenance (4 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bd280ac8190b6a530ce73da85c8 |
completed | March 1, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69a494ceeb7881909a91ed1a35d5bf0a |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a4985b7d7481909b5d30f4001ed61c |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:33 p.m.