Triple
T9505876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Simancas |
E229267
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Simancas |
E369117
|
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: Simancas | Statement: [Battle of Simancas, location, Simancas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simancas Context triple: [Battle of Simancas, location, Simancas]
-
A.
Simancas
chosen
Simancas is a historic town in Spain renowned for its royal archive, which houses some of the country’s most important state documents.
-
B.
Sahagún
Sahagún is a municipality and town in northern Colombia’s Córdoba Department, known as a regional commercial and agricultural center.
-
C.
Sahagún
Sahagún is a historic town in northwestern Spain, known for its medieval architecture and role along the Camino de Santiago pilgrimage route.
-
D.
de Cuéllar
de Cuéllar is a Spanish surname historically associated with figures such as the conquistador Diego Velázquez de Cuéllar.
-
E.
Ortiz de Gaete
Ortiz de Gaete is a Spanish surname historically associated with the family of Marina Ortiz de Gaete, wife of conquistador Pedro de Valdivia.
- 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_69ca847611c48190a28c028644198c75 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9852b7e48190a8f69cbde10d2858 |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a1de2d88190a6a10379d2297510 |
completed | April 4, 2026, 4:19 p.m. |
Created at: March 30, 2026, 7:57 p.m.