Triple
T36531943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States–Argentina relations |
E900468
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object |
U.S.–Argentina science and technology cooperation agreements
The U.S.–Argentina science and technology cooperation agreements are bilateral frameworks that promote joint research, innovation, and technological collaboration between the two countries in areas such as energy, health, agriculture, and space.
|
E900468
|
NE FINISHED |
How this triple was built (2 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: U.S.–Argentina science and technology cooperation agreements | Statement: [United States–Argentina relations, includes, U.S.–Argentina science and technology cooperation agreements]
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: U.S.–Argentina science and technology cooperation agreements Triple: [United States–Argentina relations, includes, U.S.–Argentina science and technology cooperation agreements]
Generated description
The U.S.–Argentina science and technology cooperation agreements are bilateral frameworks that promote joint research, innovation, and technological collaboration between the two countries in areas such as energy, health, agriculture, and space.
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_69f76e5fbb388190b70c4c15573c8143 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c23a6ea88190895c1aec16e18f70 |
completed | May 3, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a39dbe71dc88190a97baf3551b80bcd |
completed | June 23, 2026, 1:05 a.m. |
| NEDg | Description generation | batch_6a39dd7067f88190800ce94e987434b9 |
completed | June 23, 2026, 1:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a39de6386d88190958a00197dbe601c |
completed | June 23, 2026, 1:16 a.m. |
Created at: May 3, 2026, 4:11 p.m.