Triple
T8355035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kansas Territory |
E196661
|
entity |
| Predicate | politicalStatusDebatedBy |
P76208
|
FINISHED |
| Object | pro-slavery settlers |
—
|
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: pro-slavery settlers | Statement: [Kansas Territory, politicalStatusDebatedBy, pro-slavery settlers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalStatusDebatedBy Context triple: [Kansas Territory, politicalStatusDebatedBy, pro-slavery settlers]
-
A.
legalStatusDebatedBy
Indicates that the legal status of an entity is the subject of dispute, discussion, or controversy among parties or authorities.
-
B.
debatedAs
Indicates that one entity is discussed or argued over in terms of being equivalent to, or serving in the role of, another entity within a debate or comparative argument.
-
C.
hasDebatedStatus
Indicates that an entity has participated in or been assigned a particular status related to a debate or debating activity.
-
D.
politicalStatusContext
Indicates the situational or contextual conditions under which a particular political status holds or is evaluated.
-
E.
debatedBetween
chosen
Indicates a situation in which two or more parties engage in a discussion or argument over differing views about a particular issue or topic.
- F. None of above.
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_69ca82f08b348190bfb7881944bbff6f |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb8048edb88190a1980ad74818b898 |
completed | March 31, 2026, 8:05 a.m. |
| PD | Predicate disambiguation | batch_69cb70ca25548190b0f90c5384e3fb3c |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:59 p.m.