Triple
T2132321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SIAI-Marchetti SF.260 |
E46567
|
entity |
| Predicate | variant |
P4680
|
FINISHED |
| Object |
SF.260C
The SF.260C is a later production version of the Italian SIAI-Marchetti SF.260 light aircraft, used primarily for military training and aerobatics.
|
E242416
|
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.260C | Statement: [SIAI-Marchetti SF.260, variant, SF.260C]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SF.260C Context triple: [SIAI-Marchetti SF.260, variant, SF.260C]
-
A.
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.
-
B.
SF.260 Warrior
The SF.260 Warrior is a military-oriented variant of the Italian-designed SIAI-Marchetti SF.260, used primarily for training and light attack roles.
-
C.
S-23
S-23 is an International Hydrographic Organization publication that standardizes the naming and limits of the world’s oceans and seas.
-
D.
SIF
SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
-
E.
SF
SF is the standard two-letter postal abbreviation used to represent the city of San Francisco, California.
- 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.260C Triple: [SIAI-Marchetti SF.260, variant, SF.260C]
Generated description
The SF.260C is a later production version of the Italian SIAI-Marchetti SF.260 light aircraft, used primarily for military training and aerobatics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SF.260C Target entity description: The SF.260C is a later production version of the Italian SIAI-Marchetti SF.260 light aircraft, used primarily for military training and aerobatics.
-
A.
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.
-
B.
SF.260 Warrior
The SF.260 Warrior is a military-oriented variant of the Italian-designed SIAI-Marchetti SF.260, used primarily for training and light attack roles.
-
C.
S-23
S-23 is an International Hydrographic Organization publication that standardizes the naming and limits of the world’s oceans and seas.
-
D.
SIF
SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
-
E.
SF
SF is the standard two-letter postal abbreviation used to represent the city of San Francisco, California.
- 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_69ae5d904cbc819088ba4086297eaf3d |
completed | March 9, 2026, 5:41 a.m. |
| NEDg | Description generation | batch_69ae5eedb938819085454f0f3622ee8b |
completed | March 9, 2026, 5:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5f446c848190b4060bb248d723db |
completed | March 9, 2026, 5:48 a.m. |
Created at: March 4, 2026, 7:44 p.m.