Triple
T23233373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cebreros |
E581220
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Cebreros |
—
|
NE NERFINISHED |
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: Cebreros | Statement: [Cebreros, hasNameInLanguage, Cebreros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cebreros Context triple: [Cebreros, hasNameInLanguage, Cebreros]
-
A.
Cebreros
chosen
Cebreros is a small municipality in the province of Ávila, Spain, known as the birthplace of former Spanish Prime Minister Adolfo Suárez.
-
B.
Navacerrada
Navacerrada is a mountain village and popular outdoor recreation destination in the Sierra de Guadarrama range near Madrid, Spain.
-
C.
Ciempozuelos
Ciempozuelos is a municipality in the Community of Madrid, Spain, known for its residential character and rail connections to Madrid.
-
D.
Romeral
Romeral is a rural municipality and town in central Chile’s Maule Region, known for its agricultural production and proximity to the Andes.
-
E.
Guanche
Guanche is an extinct Berber-related language once spoken by the indigenous Guanche people of the Canary Islands before Spanish colonization.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2460556f88190be1744a84a84173f |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192e70b2c8190abede6e3cd9344f7 |
completed | April 29, 2026, 5:11 a.m. |
Created at: April 17, 2026, 4:09 p.m.