Triple
T33328035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidency of John Tyler |
E853318
|
entity |
| Predicate | slaveryIssue |
P10907
|
FINISHED |
| Object | expansion of slavery into Texas |
—
|
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: expansion of slavery into Texas | Statement: [Presidency of John Tyler, slaveryIssue, expansion of slavery into Texas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: slaveryIssue Context triple: [Presidency of John Tyler, slaveryIssue, expansion of slavery into Texas]
-
A.
effectOnSlavery
Indicates the impact or influence that something has on the existence, extent, or conditions of slavery.
-
B.
positionOnSlavery
chosen
Indicates a stance, opinion, or policy that an entity holds regarding the institution or practice of slavery.
-
C.
strengthProSlavery
Indicates the degree to which an entity supports or favors pro-slavery positions or policies.
-
D.
legalStatusOfSlavery
Indicates the legal condition or permissibility of slavery within a given jurisdiction, time, or context.
-
E.
hasAbolitionistHistory
Indicates that an entity has a historical association with efforts to abolish a particular practice, system, or institution (commonly slavery or similar forms of oppression).
- 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_69f34969614c81909cd99661b0902533 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e3156ea48190b604e414665ef351 |
completed | May 3, 2026, 5:54 a.m. |
| PD | Predicate disambiguation | batch_69f6de0b9ba48190887c9eb5d06a2e94 |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:34 a.m.