Triple
T2066951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gadsden Purchase agreement |
E45922
|
entity |
| Predicate | effectOnUnitedStates |
P35155
|
FINISHED |
| Object | expansion of United States territory in the Southwest |
—
|
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 United States territory in the Southwest | Statement: [Gadsden Purchase agreement, effectOnUnitedStates, expansion of United States territory in the Southwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnUnitedStates Context triple: [Gadsden Purchase agreement, effectOnUnitedStates, expansion of United States territory in the Southwest]
-
A.
effectOnFederalPower
Indicates how an action, decision, or condition changes, limits, or expands the authority or powers of the federal government.
-
B.
affectedU.S.State
Indicates that a particular U.S. state is impacted or influenced by a specified event, condition, or entity.
-
C.
affectedCountry
Indicates that a particular country is impacted or influenced by an event, action, or condition.
-
D.
impactOnIran
Indicates the effect or consequences that an action, event, or policy has on Iran.
-
E.
purchasedByUnitedStatesIn
Indicates that something was bought or acquired by the United States during a specified time period.
- 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_69a8891b38288190abd572ccad9b6928 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9f236f08190b602d337afb1880f |
completed | March 7, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69abb7aee9b48190999620176e3a6ee2 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb87b9fc08190a748c278ef2d7dc7 |
completed | March 7, 2026, 5:32 a.m. |
Created at: March 4, 2026, 7:40 p.m.