Triple
T7574512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palapa B2 |
E179327
|
entity |
| Predicate | spacecraftBus |
P12569
|
FINISHED |
| Object | HS-376 |
E673858
|
NE 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: HS-376 | Statement: [Palapa B2, spacecraftBus, HS-376]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HS-376 Context triple: [Palapa B2, spacecraftBus, HS-376]
-
A.
HS-376
chosen
HS-376 is a spin-stabilized communications satellite bus developed by Hughes that was widely used for commercial geostationary satellites from the 1970s through the 1990s.
-
B.
H135
H135 is a light twin-engine multi-mission helicopter widely used for emergency medical services, law enforcement, and training operations.
-
C.
M-37
M-37 is a state highway in Michigan that runs up the Old Mission Peninsula, providing scenic access between Traverse City and the peninsula’s vineyards, orchards, and shoreline.
-
D.
HSH
HSH is the formal abbreviation used to address or refer to a person holding the noble style "His Serene Highness."
-
E.
HC-4
HC-4 is a model of Coast Guard aircraft used for maritime patrol, search and rescue, and related operational missions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c69f316e50819081a271c85c06f918 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f948e1e08190ad807292365a0c27 |
completed | March 27, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c861673ae48190b86e8023fd02771c |
completed | March 28, 2026, 11:16 p.m. |
Created at: March 27, 2026, 3:51 p.m.