Triple
T8970953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | INF Treaty |
E214263
|
entity |
| Predicate | SovietMissilesEliminated |
P33881
|
FINISHED |
| Object | approximately 1,846 |
—
|
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: approximately 1,846 | Statement: [INF Treaty, SovietMissilesEliminated, approximately 1,846]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SovietMissilesEliminated Context triple: [INF Treaty, SovietMissilesEliminated, approximately 1,846]
-
A.
approximateNumberOfMissilesEliminated
chosen
Indicates the estimated quantity of missiles that have been neutralized or removed.
-
B.
SovietObjective
Indicates that the entity represents a goal, target, or strategic aim pursued by the Soviet Union.
-
C.
SovietAction
Indicates actions, policies, or interventions carried out by the Soviet Union or its authorities toward another entity.
-
D.
SovietEquipmentLosses
Indicates the extent or instances of military equipment lost by Soviet forces in a given conflict or period.
-
E.
numberOfDeployedMissilesPeak
Indicates the maximum number of missiles that were deployed at any point in time.
- 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_69ca839dbf608190a2f5990477115d29 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67672c108190919ae6ca69b6291f |
completed | April 1, 2026, 12:31 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed9a2d48190ad11381078e823b7 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:02 p.m.