Triple
T27981185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ricochet wireless internet service |
E706625
|
entity |
| Predicate | commercialLaunch |
P168612
|
FINISHED |
| Object | mid-1990s |
—
|
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: mid-1990s | Statement: [Ricochet wireless internet service, commercialLaunch, mid-1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commercialLaunch Context triple: [Ricochet wireless internet service, commercialLaunch, mid-1990s]
-
A.
commercialLaunchFirst
Indicates that this event marks the first commercial launch associated with the subject entity.
-
B.
commercialLaunchProvider
Indicates that an entity serves as the organization responsible for providing launch services for a commercial space mission or payload.
-
C.
commercialLaunchYear
Indicates the calendar year in which something was first made commercially available or launched to the market.
-
D.
commercialCrewProvider
Indicates that an entity serves as a commercial provider of crew transportation services, typically to and from space or orbital destinations.
-
E.
coreLaunchVehicle
Indicates that one entity serves as the primary launch vehicle used to propel another entity (such as a payload or mission) into space.
- 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_69ef96b8b8d88190bad5e4ae966bf14e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f67595fa7c8190b6e9f7a8c700dd97 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 27, 2026, 7:44 p.m.