Triple
T8624140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sikorsky (crater) |
E204241
|
entity |
| Predicate | hasSatelliteCrater |
P34245
|
FINISHED |
| Object | Sikorsky T |
E751695
|
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: Sikorsky T | Statement: [Sikorsky (crater), hasSatelliteCrater, Sikorsky T]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sikorsky T Context triple: [Sikorsky (crater), hasSatelliteCrater, Sikorsky T]
-
A.
Sikorsky Q
chosen
Sikorsky Q is a designated satellite crater on the Moon associated with the larger lunar impact feature Sikorsky.
-
B.
Sikorsky H-5 helicopter
The Sikorsky H-5 is an early post–World War II American utility and rescue helicopter that played a key role in pioneering rotary-wing military and search-and-rescue operations.
-
C.
Bell 205
The Bell 205 is a medium utility helicopter, derived from the iconic UH-1 "Huey," widely used around the world for military, transport, and search-and-rescue roles.
-
D.
Bell 206
The Bell 206 is a family of light, twin-blade helicopters widely used around the world for training, transport, and utility missions in both civilian and military roles.
-
E.
Bell 429
The Bell 429 is a light twin-engine helicopter widely used for corporate transport, emergency medical services, and law enforcement due to its advanced avionics, spacious cabin, and performance.
- 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_69ca834a4ea0819094970dceb9e389f3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4728360c8190b5e600596cbced0c |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf5148add48190bd2849d607e46c77 |
completed | April 3, 2026, 5:34 a.m. |
Created at: March 30, 2026, 6:26 p.m.