Triple
T11015211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FMA IA 63 Pampa |
E260345
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
IA 63 Pampa II
The IA 63 Pampa II is an upgraded variant of Argentina’s IA 63 Pampa jet trainer, featuring modernized avionics and systems for advanced pilot training.
|
E900162
|
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: IA 63 Pampa II | Statement: [FMA IA 63 Pampa, hasVariant, IA 63 Pampa II]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IA 63 Pampa II Context triple: [FMA IA 63 Pampa, hasVariant, IA 63 Pampa II]
-
A.
Citura
Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
-
B.
Pianchi
Pianchi was a Kushite king who founded Egypt’s Twenty-fifth Dynasty by conquering and unifying much of the Nile Valley in the 8th century BCE.
-
C.
Roatta
Roatta is an Italian surname most notably borne by Mario Roatta, a general in the Royal Italian Army during World War II.
-
D.
Opañel
Opañel is a Madrid Metro station serving the Carabanchel district in Spain.
-
E.
Niva
Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
- 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: IA 63 Pampa II Triple: [FMA IA 63 Pampa, hasVariant, IA 63 Pampa II]
Generated description
The IA 63 Pampa II is an upgraded variant of Argentina’s IA 63 Pampa jet trainer, featuring modernized avionics and systems for advanced pilot training.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: IA 63 Pampa II Target entity description: The IA 63 Pampa II is an upgraded variant of Argentina’s IA 63 Pampa jet trainer, featuring modernized avionics and systems for advanced pilot training.
-
A.
Citura
Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
-
B.
Pianchi
Pianchi was a Kushite king who founded Egypt’s Twenty-fifth Dynasty by conquering and unifying much of the Nile Valley in the 8th century BCE.
-
C.
Roatta
Roatta is an Italian surname most notably borne by Mario Roatta, a general in the Royal Italian Army during World War II.
-
D.
Opañel
Opañel is a Madrid Metro station serving the Carabanchel district in Spain.
-
E.
Niva
Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797a558a08190bdb5779faa9adf05 |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374d371ec8190aba9e77346c6e876 |
completed | April 18, 2026, 12:10 p.m. |
| NEDg | Description generation | batch_69e37ab6ca788190ac41f9494ad9a47f |
completed | April 18, 2026, 12:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e37c9439fc8190a69cfb1a13da4c19 |
completed | April 18, 2026, 12:44 p.m. |
Created at: April 8, 2026, 9:25 p.m.