Triple
T11463607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juntas of Gernika |
E271721
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Gernika |
E97708
|
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: Gernika | Statement: [Juntas of Gernika, location, Gernika]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gernika Context triple: [Juntas of Gernika, location, Gernika]
-
A.
Gernika-Lumo
chosen
Gernika-Lumo is a historic town in the Basque Country of northern Spain, internationally known for the 1937 bombing that inspired Pablo Picasso’s famous painting "Guernica."
-
B.
de Garnica
De Garnica is a Spanish surname associated with individuals such as José de Garnica.
-
C.
Jarama
The Jarama is a major river in central Spain that flows through the Community of Madrid and Castile-La Mancha before joining the Tagus River.
-
D.
Guernica
Guernica is a town in northern Spain historically known for the devastating 1937 bombing during the Spanish Civil War and for inspiring Pablo Picasso’s famous anti-war painting of the same name.
-
E.
Atocha
Atocha is a central Madrid neighborhood known for its major railway station, cultural institutions, and proximity to the city’s historic and museum districts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f488248190b9f603cd31c72174 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e92a7c2881908d85009a6069b2e4 |
completed | April 20, 2026, 8:51 a.m. |
Created at: April 8, 2026, 9:35 p.m.