Triple
T36874567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colorado River (Argentina) |
E911308
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Grande River (Mendoza/Neuquén)
The Grande River in the Mendoza and Neuquén provinces of Argentina is an important Andean river known for its role in regional irrigation, hydropower generation, and as a major contributor to the Colorado River basin.
|
E401680
|
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: Grande River (Mendoza/Neuquén) | Statement: [Colorado River (Argentina), hasTributary, Grande River (Mendoza/Neuquén)]
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: Grande River (Mendoza/Neuquén) Triple: [Colorado River (Argentina), hasTributary, Grande River (Mendoza/Neuquén)]
Generated description
The Grande River in the Mendoza and Neuquén provinces of Argentina is an important Andean river known for its role in regional irrigation, hydropower generation, and as a major contributor to the Colorado River basin.
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_69f76e82339881909607a65c0503d941 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7cff599408190afda2781c11e176e |
completed | May 3, 2026, 10:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3dfae9b5cc81909b67520b22ba81ec |
completed | June 26, 2026, 4:07 a.m. |
| NEDg | Description generation | batch_6a3dfb65339c8190b9dce70882b43218 |
completed | June 26, 2026, 4:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3dfcd781f881908480874f47984022 |
completed | June 26, 2026, 4:15 a.m. |
Created at: May 3, 2026, 4:13 p.m.