Triple
T449472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SALT II |
E7094
|
entity |
| Predicate | statusInUnitedStates |
P14939
|
FINISHED |
| Object | never ratified by U.S. Senate |
—
|
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: never ratified by U.S. Senate | Statement: [SALT II, statusInUnitedStates, never ratified by U.S. Senate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInUnitedStates Context triple: [SALT II, statusInUnitedStates, never ratified by U.S. Senate]
-
A.
statusIndicates
Indicates that a particular status value conveys or reflects the current condition, state, or situation of an entity or process.
-
B.
statusInMaryland
Indicates that an entity holds a particular legal, regulatory, or operational status specifically within the jurisdiction of Maryland.
-
C.
allyOfUnitedStates
Indicates a relationship where an entity maintains a supportive, cooperative, or formally allied partnership with the United States.
-
D.
stateOrTerritory
Indicates that one entity is a state or territory that is politically or administratively associated with another entity.
-
E.
legalStatusInManyCountries
Indicates that the subject has a particular legal classification or standing that is recognized across numerous countries.
- 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_69a2e7e4676c81909ea0dbdecac0687c |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ef6755a08190a057e72279b70456 |
completed | Feb. 28, 2026, 1:36 p.m. |
| PD | Predicate disambiguation | batch_69a2ede1a1108190a4a06b3416ae6156 |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2ef611b9c8190ac5e9174744d9127 |
completed | Feb. 28, 2026, 1:36 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.