Triple
T2132319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SIAI-Marchetti SF.260 |
E46567
|
entity |
| Predicate | marketedAs |
P1395
|
FINISHED |
| Object |
SF.260TP
The SF.260TP is a turboprop-powered variant of the SIAI-Marchetti SF.260, used primarily as a military trainer and light attack aircraft.
|
E237926
|
NE FINISHED |
How this triple was built (4 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: SF.260TP | Statement: [SIAI-Marchetti SF.260, marketedAs, SF.260TP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SF.260TP Context triple: [SIAI-Marchetti SF.260, marketedAs, SF.260TP]
-
A.
T-68
The T-68 was an early generation light rail tram used on the Manchester Metrolink system in the UK before being superseded by newer models.
-
B.
M62
M62 is a major trans-Pennine motorway in northern England connecting cities such as Liverpool, Manchester, Leeds, and Hull.
-
C.
Enova SF
Enova SF is a Norwegian state-owned enterprise that promotes energy efficiency, renewable energy, and reduced greenhouse gas emissions through funding and advisory programs.
-
D.
SR 400
SR 400 is a major north–south highway in Georgia that serves as a key commuter and traffic corridor through the Atlanta metropolitan area.
-
E.
S-23
S-23 is an International Hydrographic Organization publication that standardizes the naming and limits of the world’s oceans and seas.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SF.260TP Triple: [SIAI-Marchetti SF.260, marketedAs, SF.260TP]
Generated description
The SF.260TP is a turboprop-powered variant of the SIAI-Marchetti SF.260, used primarily as a military trainer and light attack aircraft.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SF.260TP Target entity description: The SF.260TP is a turboprop-powered variant of the SIAI-Marchetti SF.260, used primarily as a military trainer and light attack aircraft.
-
A.
T-68
The T-68 was an early generation light rail tram used on the Manchester Metrolink system in the UK before being superseded by newer models.
-
B.
M62
M62 is a major trans-Pennine motorway in northern England connecting cities such as Liverpool, Manchester, Leeds, and Hull.
-
C.
Enova SF
Enova SF is a Norwegian state-owned enterprise that promotes energy efficiency, renewable energy, and reduced greenhouse gas emissions through funding and advisory programs.
-
D.
SR 400
SR 400 is a major north–south highway in Georgia that serves as a key commuter and traffic corridor through the Atlanta metropolitan area.
-
E.
S-23
S-23 is an International Hydrographic Organization publication that standardizes the naming and limits of the world’s oceans and seas.
- F. None of above. chosen
Provenance (5 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb7b13ac819094d43159fff984cf |
completed | March 7, 2026, 5:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae51a82a7c8190bc6737034d01f176 |
completed | March 9, 2026, 4:50 a.m. |
| NEDg | Description generation | batch_69ae528634608190bf10e3abf5a2c2d9 |
completed | March 9, 2026, 4:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae536431bc8190b9f293d74046cb27 |
completed | March 9, 2026, 4:58 a.m. |
Created at: March 4, 2026, 7:44 p.m.