Triple
T2322894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sebastián de Benalcázar |
E48220
|
entity |
| Predicate | causeOfLegalCondemnation |
P38081
|
FINISHED |
| Object | abuses and conflicts during his governorship |
—
|
LITERAL 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: abuses and conflicts during his governorship | Statement: [Sebastián de Benalcázar, causeOfLegalCondemnation, abuses and conflicts during his governorship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfLegalCondemnation Context triple: [Sebastián de Benalcázar, causeOfLegalCondemnation, abuses and conflicts during his governorship]
-
A.
condemnedAs
Indicates that one entity formally or strongly denounces another entity by labeling it as wrong, guilty, or unacceptable.
-
B.
condemnedBy
Indicates that an entity is judged, denounced, or declared wrong or unacceptable by another entity.
-
C.
convictedOf
Indicates that a person or entity has been found guilty of committing a specified offense or crime through a formal legal process.
-
D.
condemnation
Indicates that an entity expresses strong disapproval or denunciation of another entity, action, or situation.
-
E.
accusedOf
Indicates that one entity has formally alleged or claimed that another entity committed a specific wrongdoing or offense.
- F. None of above. chosen
Provenance (4 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_69a88aa308a88190b0b86c011fda7fce |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc685f05481909c863b29d1f6bacd |
completed | March 7, 2026, 6:32 a.m. |
| PD | Predicate disambiguation | batch_69abc5909cc48190aab257313542dc49 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc682d094819081a96ffb77c4c42a |
completed | March 7, 2026, 6:32 a.m. |
Created at: March 4, 2026, 7:49 p.m.