Triple
T14012349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christina of Norway |
E337113
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object |
Covarrubias
Covarrubias is a historic village in the province of Burgos, Spain, known for its medieval architecture and ties to Castilian nobility.
|
E1073062
|
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: Covarrubias | Statement: [Christina of Norway, residence, Covarrubias]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Covarrubias Context triple: [Christina of Norway, residence, Covarrubias]
-
A.
Covarrubias
Covarrubias is a Spanish surname most notably associated with Renaissance architect and sculptor Alonso de Covarrubias, whose work significantly shaped the Plateresque style.
-
B.
Ceballos
Ceballos is a Spanish surname borne by various notable figures in politics, sports, and the arts.
-
C.
Velasco
Velasco is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
-
D.
Carrillo
Carrillo is a Spanish-origin surname borne by numerous notable individuals across the Spanish-speaking world and beyond.
-
E.
Balderas
Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
- 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: Covarrubias Triple: [Christina of Norway, residence, Covarrubias]
Generated description
Covarrubias is a historic village in the province of Burgos, Spain, known for its medieval architecture and ties to Castilian nobility.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Covarrubias Target entity description: Covarrubias is a historic village in the province of Burgos, Spain, known for its medieval architecture and ties to Castilian nobility.
-
A.
Covarrubias
Covarrubias is a Spanish surname most notably associated with Renaissance architect and sculptor Alonso de Covarrubias, whose work significantly shaped the Plateresque style.
-
B.
Ceballos
Ceballos is a Spanish surname borne by various notable figures in politics, sports, and the arts.
-
C.
Velasco
Velasco is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
-
D.
Carrillo
Carrillo is a Spanish-origin surname borne by numerous notable individuals across the Spanish-speaking world and beyond.
-
E.
Balderas
Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed5cfd0819085b9c860b119a9de |
completed | April 14, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbacaa16e88190995fd86951fb54e6 |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbada0a2408190b77d163aee17400e |
completed | May 6, 2026, 9:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbaeeeb594819087b57da166495a72 |
completed | May 6, 2026, 9:13 p.m. |
Created at: April 9, 2026, 10:19 p.m.