Triple
T2344439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentine Air Force |
E45097
|
entity |
| Predicate | usedAircraft |
P1524
|
FINISHED |
| Object |
Pucará
The Pucará is an Argentine twin-turboprop ground-attack and counter-insurgency aircraft designed for close air support and anti-guerrilla operations.
|
E258329
|
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: Pucará | Statement: [Argentine Air Force, usedAircraft, Pucará]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pucará Context triple: [Argentine Air Force, usedAircraft, Pucará]
-
A.
Sipakapense
Sipakapense is a Mayan language spoken by the Sipakapense people of the western highlands of Guatemala.
-
B.
Sacsayhuamán
Sacsayhuamán is a monumental Inca fortress and ceremonial complex overlooking Cusco, renowned for its massive precisely fitted stone walls and archaeological significance.
-
C.
Yucay
Yucay is a small Andean town in Peru’s Sacred Valley, known for its traditional agriculture, Inca terraces, and scenic mountain surroundings.
-
D.
Subachoque
Subachoque is a rural municipality in the Cundinamarca department of Colombia, known for its cool climate, agricultural activities, and scenic Andean landscapes.
-
E.
Huaca Pucllana
Huaca Pucllana is a pre-Inca adobe pyramid and ceremonial complex located in the Miraflores district of Lima, Peru.
- 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: Pucará Triple: [Argentine Air Force, usedAircraft, Pucará]
Generated description
The Pucará is an Argentine twin-turboprop ground-attack and counter-insurgency aircraft designed for close air support and anti-guerrilla operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pucará Target entity description: The Pucará is an Argentine twin-turboprop ground-attack and counter-insurgency aircraft designed for close air support and anti-guerrilla operations.
-
A.
Sipakapense
Sipakapense is a Mayan language spoken by the Sipakapense people of the western highlands of Guatemala.
-
B.
Sacsayhuamán
Sacsayhuamán is a monumental Inca fortress and ceremonial complex overlooking Cusco, renowned for its massive precisely fitted stone walls and archaeological significance.
-
C.
Yucay
Yucay is a small Andean town in Peru’s Sacred Valley, known for its traditional agriculture, Inca terraces, and scenic mountain surroundings.
-
D.
Subachoque
Subachoque is a rural municipality in the Cundinamarca department of Colombia, known for its cool climate, agricultural activities, and scenic Andean landscapes.
-
E.
Huaca Pucllana
Huaca Pucllana is a pre-Inca adobe pyramid and ceremonial complex located in the Miraflores district of Lima, Peru.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc6afe38c81909deb1de2a1c4eda9 |
completed | March 7, 2026, 6:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae96253f0c81908b866c656c3f5bea |
completed | March 9, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_69ae96fc0b508190b1da6aa41cddc488 |
completed | March 9, 2026, 9:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae977aac9c8190b5fecd5fea8893fd |
completed | March 9, 2026, 9:48 a.m. |
Created at: March 4, 2026, 7:52 p.m.