Triple
T33927933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Ribera del Órbigo |
E869802
|
entity |
| Predicate | hasGeographicFeature |
P940
|
FINISHED |
| Object |
Órbigo River valley
The Órbigo River valley is a fertile, historically significant river corridor in the province of León, Spain, known for its agriculture, traditional villages, and role along the Camino de Santiago.
|
E2074693
|
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: Órbigo River valley | Statement: [La Ribera del Órbigo, hasGeographicFeature, Órbigo River valley]
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: Órbigo River valley Triple: [La Ribera del Órbigo, hasGeographicFeature, Órbigo River valley]
Generated description
The Órbigo River valley is a fertile, historically significant river corridor in the province of León, Spain, known for its agriculture, traditional villages, and role along the Camino de Santiago.
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_69f349992c508190aa4afa24a086cc8c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f701f8dbc48190a4ac46e4d1c0abb8 |
completed | May 3, 2026, 8:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3689cf620881908c82a2c10973e774 |
completed | June 20, 2026, 12:38 p.m. |
| NEDg | Description generation | batch_6a368a5f070c81909a5d0e8f4ac5ad2e |
completed | June 20, 2026, 12:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a368b17fd848190be803db49a0ef089 |
completed | June 20, 2026, 12:44 p.m. |
Created at: May 1, 2026, 1:49 a.m.