Triple
T19281173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ounila Valley |
E482190
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object |
Ounila River
The Ounila River is a seasonal watercourse in southern Morocco that runs through the historic Ounila Valley, linking traditional Berber villages and the famous ksar of Aït Benhaddou in the Atlas Mountains.
|
E2226710
|
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: Ounila River | Statement: [Ounila Valley, hasRiver, Ounila River]
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: Ounila River Triple: [Ounila Valley, hasRiver, Ounila River]
Generated description
The Ounila River is a seasonal watercourse in southern Morocco that runs through the historic Ounila Valley, linking traditional Berber villages and the famous ksar of Aït Benhaddou in the Atlas Mountains.
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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbff1e6c819094ae6a5ad40adb65 |
completed | April 20, 2026, 10:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40822829e881909e53dd7d47d72904 |
completed | June 28, 2026, 2:08 a.m. |
| NEDg | Description generation | batch_6a408301ac7481909a67b2b663296357 |
completed | June 28, 2026, 2:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a4083b93a508190819fe83da97374f7 |
completed | June 28, 2026, 2:15 a.m. |
Created at: April 10, 2026, 1:30 p.m.