Triple
T17424400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lévézou plateau |
E423699
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object |
Ségala
Ségala is a rural region in southern France known for its hilly landscapes, cereal cultivation, and traditional agricultural villages.
|
E1267815
|
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: Ségala | Statement: [Lévézou plateau, borders, Ségala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ségala Context triple: [Lévézou plateau, borders, Ségala]
-
A.
Sarakole
Sarakole is another name for the Soninke, a West African ethnic group historically known for their role in the ancient Ghana Empire and long-distance trade.
-
B.
Sanchica
Sanchica is the fictional daughter of Sancho Panza in Miguel de Cervantes' novel "Don Quixote."
-
C.
Seia
Seia is a municipality and town in central Portugal known for its proximity to the Serra da Estrela mountains and natural park.
-
D.
Sulien
Sulien is a Welsh saint traditionally venerated as a local holy figure associated with churches in Wales.
-
E.
Gomeisa
Gomeisa is the second-brightest star in the constellation Canis Minor, known as a hot, blue-white main-sequence star visible to the naked eye.
- 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: Ségala Triple: [Lévézou plateau, borders, Ségala]
Generated description
Ségala is a rural region in southern France known for its hilly landscapes, cereal cultivation, and traditional agricultural villages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ségala Target entity description: Ségala is a rural region in southern France known for its hilly landscapes, cereal cultivation, and traditional agricultural villages.
-
A.
Sarakole
Sarakole is another name for the Soninke, a West African ethnic group historically known for their role in the ancient Ghana Empire and long-distance trade.
-
B.
Sanchica
Sanchica is the fictional daughter of Sancho Panza in Miguel de Cervantes' novel "Don Quixote."
-
C.
Seia
Seia is a municipality and town in central Portugal known for its proximity to the Serra da Estrela mountains and natural park.
-
D.
Sulien
Sulien is a Welsh saint traditionally venerated as a local holy figure associated with churches in Wales.
-
E.
Gomeisa
Gomeisa is the second-brightest star in the constellation Canis Minor, known as a hot, blue-white main-sequence star visible to the naked eye.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4423999ac81909fdbd8bcffcb30c9 |
completed | April 19, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01a80670bc8190aa8c7651e8973bb3 |
completed | May 11, 2026, 9:57 a.m. |
| NEDg | Description generation | batch_6a01aa8b777c81909b8a4a5e790634e8 |
completed | May 11, 2026, 10:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01ab5a7a408190a457ddef4a0a7b09 |
completed | May 11, 2026, 10:11 a.m. |
Created at: April 10, 2026, 5:46 a.m.