Triple
T2196833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FRIENDLY |
E50393
|
entity |
| Predicate | communicationContext |
P2919
|
FINISHED |
| Object | air traffic control |
—
|
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: air traffic control | Statement: [FRIENDLY, communicationContext, air traffic control]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: communicationContext Context triple: [FRIENDLY, communicationContext, air traffic control]
-
A.
context
Indicates that one entity provides the surrounding circumstances, setting, or background within which another entity, event, or statement occurs or is interpreted.
-
B.
contextOf
chosen
Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
-
C.
communicationChannel
Indicates a medium or method through which information is transmitted between parties.
-
D.
communicationMode
Indicates the method or channel through which communication between entities is carried out.
-
E.
communicationModel
Indicates the type or framework of communication used or assumed in the relationship between entities.
- 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbf77e4f08190a1f5ea601d306596 |
completed | March 7, 2026, 6:02 a.m. |
| PD | Predicate disambiguation | batch_69abbda52328819089c7ab111bebb0ca |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.