Triple
T2333870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sikorsky Aircraft |
E44265
|
entity |
| Predicate | notableProduct |
P1448
|
FINISHED |
| Object | S-76 |
E93954
|
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: S-76 | Statement: [Sikorsky Aircraft, notableProduct, S-76]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S-76 Context triple: [Sikorsky Aircraft, notableProduct, S-76]
-
A.
Sikorsky S-76
chosen
The Sikorsky S-76 is a medium-sized, twin-engine commercial helicopter widely used worldwide for executive transport, offshore operations, and search-and-rescue missions.
-
B.
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.
-
C.
Sikorsky S-92
The Sikorsky S-92 is a twin-engine medium-lift helicopter widely used for offshore transport, search and rescue, and military applications.
-
D.
Bell 212 helicopter
The Bell 212 helicopter is a twin-engine, medium utility helicopter widely used for military transport, search and rescue, and general support missions around the world.
-
E.
Airbus Helicopters EC135
The Airbus Helicopters EC135 is a twin-engine light utility helicopter widely used around the world for military training, law enforcement, emergency medical services, and civilian transport.
- 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_69a889132b488190bbb43ad4780ddd92 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc66d7ea081908867ff494b70df1e |
completed | March 7, 2026, 6:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae8979bca08190aac46ef3dc1a2be2 |
completed | March 9, 2026, 8:48 a.m. |
Created at: March 4, 2026, 7:51 p.m.