Triple
T1598369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sikorsky VH-3D Sea King |
E34335
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | HMX‑1 |
E32437
|
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: HMX‑1 | Statement: [Sikorsky VH-3D Sea King, operator, HMX‑1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HMX‑1 Context triple: [Sikorsky VH-3D Sea King, operator, HMX‑1]
-
A.
HMX-1
chosen
HMX-1 is the United States Marine Corps helicopter squadron responsible for transporting the President and other VIPs, most famously operating the aircraft known as Marine One.
-
B.
M-45
M-45 is a state highway in Michigan that runs east–west through the Grand Rapids area toward the Lake Michigan shoreline.
-
C.
CT-156 Harvard II
The CT-156 Harvard II is a turboprop military trainer aircraft used by the Royal Canadian Air Force for pilot training and skill development.
-
D.
Lynx helicopter
The Lynx helicopter is a British multi-role military helicopter renowned for its agility and service with both army and naval aviation units worldwide.
-
E.
Gazelle helicopter
The Gazelle helicopter is a light, fast, and highly maneuverable French-designed utility and reconnaissance helicopter widely used by military forces for training, liaison, and observation roles.
- 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9092f5f148190b987bc943e89e29c |
completed | March 5, 2026, 4:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad46a848ec819085c82be8eaea2044 |
completed | March 8, 2026, 9:51 a.m. |
Created at: March 4, 2026, 7:27 p.m.