Triple
T13475530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 9M-MRO |
E318239
|
entity |
| Predicate | aircraftManufacturerCountry |
P3546
|
FINISHED |
| Object | United States |
E14
|
NE FINISHED |
How this triple was built (3 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: United States | Statement: [9M-MRO, aircraftManufacturerCountry, United States]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: United States Context triple: [9M-MRO, aircraftManufacturerCountry, United States]
-
A.
United States of America
chosen
The United States of America is a large federal republic in North America known for its global political, economic, military, and cultural influence.
-
B.
Usa
Usa is a city in Ōita Prefecture, Japan, known for the historic Usa Jingū Shinto shrine.
-
C.
USA
USA is a public research university located in Mobile, Alabama, known for its diverse academic programs and regional impact in the Gulf Coast area.
-
D.
USA
USA is the three-letter International Olympic Committee country code representing the United States of America in international sporting events.
-
E.
Usan
Usan is a small coastal village in Angus, Scotland, known for its fishing heritage and scenic North Sea shoreline.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftManufacturerCountry Context triple: [9M-MRO, aircraftManufacturerCountry, United States]
-
A.
aircraftOriginCountry
Indicates the country from which an aircraft originates, such as where it was built, registered, or primarily associated.
-
B.
aircraftManufacturerLocation
chosen
Indicates the geographical place where an aircraft manufacturer is based or operates from.
-
C.
appliedToAircraftBuiltBy
Indicates that something (such as a regulation, modification, or action) is applied specifically to aircraft that were built by a particular manufacturer or builder.
-
D.
intendedAircraftManufacturer
Indicates that one entity is the manufacturer for which an aircraft (or aircraft model) is designed or planned, rather than necessarily the one that ultimately builds it.
-
E.
aircraftManufacturerOfAircraft
Indicates that a given manufacturer is the producer or builder of a specified aircraft.
- F. None of above.
Provenance (4 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf2551b48190a074fd256791742d |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d37b9988190b8f830fb52586340 |
completed | May 3, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69dbadfddefc81909ef7fde23b181b5c |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:42 p.m.