Triple
T8455421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | H225 |
E199907
|
entity |
| Predicate | partOfSeries |
P1761
|
FINISHED |
| Object | EC225 family |
E37817
|
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: EC225 family | Statement: [H225, partOfSeries, EC225 family]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EC225 family Context triple: [H225, partOfSeries, EC225 family]
-
A.
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.
-
B.
Bell 412
The Bell 412 is a twin-engine utility helicopter widely used around the world for military, law enforcement, and civilian transport and rescue operations.
-
C.
Airbus H225
chosen
The Airbus H225 is a long-range, twin-engine heavy-lift helicopter widely used for offshore transport, search and rescue, and military missions.
-
D.
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.
-
E.
Bell 407
The Bell 407 is a popular four-blade, single-engine civil utility helicopter widely used for corporate transport, emergency medical services, law enforcement, and utility 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_69ca8318231881908fd1bc1c4d45d286 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe48e0ae481908b40f7f124b0551e |
completed | March 31, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1de232508190803fd2dad21e677f |
completed | April 2, 2026, 7:42 a.m. |
Created at: March 30, 2026, 6:10 p.m.