Triple
T26726911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HS-376 |
E673858
|
entity |
| Predicate | busFamily |
P161171
|
FINISHED |
| Object | Hughes HS satellite bus family |
—
|
NE NERFINISHED |
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: Hughes HS satellite bus family | Statement: [HS-376, busFamily, Hughes HS satellite bus family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: busFamily Context triple: [HS-376, busFamily, Hughes HS satellite bus family]
-
A.
vehicleFamily
Indicates that two vehicles belong to the same family or category based on shared design, platform, or lineage.
-
B.
busCategory
Indicates the classification or type of a bus within a defined categorization system.
-
C.
trainFamily
Indicates that one entity trains, educates, or prepares another entity within a family or familial context.
-
D.
transportModeFamily
Indicates the general category or family of transportation mode to which a specific transport mode belongs (e.g., road, rail, air, water).
-
E.
poweredVehicleFamily
Indicates that one vehicle is part of a family or group of vehicles that share a common powered (motorized) design or platform.
- 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_69eecda481d08190aea69f2f7c745f56 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6180b31f881909f532141eaf7896d |
completed | May 2, 2026, 3:28 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f6106d346c8190868489f36c65b6ec |
completed | May 2, 2026, 2:55 p.m. |
Created at: April 27, 2026, 3:43 a.m.