Triple
T15396552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawaii Tracking Station |
E368190
|
entity |
| Predicate | communicationsType |
P3332
|
FINISHED |
| Object | space-to-ground communications |
—
|
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: space-to-ground communications | Statement: [Hawaii Tracking Station, communicationsType, space-to-ground communications]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: communicationsType Context triple: [Hawaii Tracking Station, communicationsType, space-to-ground communications]
-
A.
communicationMode
chosen
Indicates the method or channel through which communication between entities is carried out.
-
B.
communicationModel
Indicates the type or framework of communication used or assumed in the relationship between entities.
-
C.
communicationChannel
Indicates a medium or method through which information is transmitted between parties.
-
D.
communicationService
Indicates a relationship where one entity provides or facilitates a means for another entity to exchange information or messages.
-
E.
communicationFunction
Indicates that one entity serves a communicative role or purpose in relation to another, such as conveying, mediating, or facilitating the exchange of information.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8c5d40819086622b70edcb6294 |
completed | April 16, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69ded27b8cac8190bfa77698d53c5d1c |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:19 a.m.