Triple
T20916130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eo-Navia region |
E515077
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Vegadeo
Vegadeo is a municipality and town in western Asturias, Spain, known for its rural landscape and location near the Eo River on the border with Galicia.
|
E1457046
|
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: Vegadeo | Statement: [Eo-Navia region, contains, Vegadeo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vegadeo Context triple: [Eo-Navia region, contains, Vegadeo]
-
A.
Vago
Vago is a surname most notably associated with Pierre Vago, a prominent 20th-century French architect and influential figure in modern architecture.
-
B.
The Vodi
The Vodi is a novel by British author John Braine, best known for its darkly psychological exploration of guilt, illness, and alienation in postwar England.
-
C.
Vado
Vado is a small unincorporated community in southern New Mexico, located in Doña Ana County within the broader Las Cruces region.
-
D.
Vado
Vado is an American rapper from Harlem, New York, known for his collaborations with Cam’ron and his work in the New York hip-hop scene.
-
E.
Dorog
Dorog is a small industrial town in northern Hungary known for its historical coal mining and proximity to the Danube Bend.
- 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: Vegadeo Triple: [Eo-Navia region, contains, Vegadeo]
Generated description
Vegadeo is a municipality and town in western Asturias, Spain, known for its rural landscape and location near the Eo River on the border with Galicia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vegadeo Target entity description: Vegadeo is a municipality and town in western Asturias, Spain, known for its rural landscape and location near the Eo River on the border with Galicia.
-
A.
Vago
Vago is a surname most notably associated with Pierre Vago, a prominent 20th-century French architect and influential figure in modern architecture.
-
B.
The Vodi
The Vodi is a novel by British author John Braine, best known for its darkly psychological exploration of guilt, illness, and alienation in postwar England.
-
C.
Vado
Vado is a small unincorporated community in southern New Mexico, located in Doña Ana County within the broader Las Cruces region.
-
D.
Vado
Vado is an American rapper from Harlem, New York, known for his collaborations with Cam’ron and his work in the New York hip-hop scene.
-
E.
Dorog
Dorog is a small industrial town in northern Hungary known for its historical coal mining and proximity to the Danube Bend.
- 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_69e0b4f9d5ec8190bb2bd27350ed341c |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6ec628a38819093dcb70de91c770b |
completed | April 21, 2026, 3:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0918e0178081908c271dc800de798e |
completed | May 17, 2026, 1:24 a.m. |
| NEDg | Description generation | batch_6a091be2f1208190a57e7f7d8aabddc0 |
completed | May 17, 2026, 1:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a091c47b3dc81908a5188ad63e14ec6 |
completed | May 17, 2026, 1:39 a.m. |
Created at: April 16, 2026, 12:48 p.m.