Triple
T29730637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treaty of Alexandropol |
E752309
|
entity |
| Predicate | limitedArmenianArmyTo |
P13942
|
FINISHED |
| Object | 1500 bayonets and 20 machine guns |
—
|
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: 1500 bayonets and 20 machine guns | Statement: [Treaty of Alexandropol, limitedArmenianArmyTo, 1500 bayonets and 20 machine guns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: limitedArmenianArmyTo Context triple: [Treaty of Alexandropol, limitedArmenianArmyTo, 1500 bayonets and 20 machine guns]
-
A.
restrictedArmySizeOf
chosen
Indicates that one entity imposes a limitation or cap on the allowable size of another entity’s army.
-
B.
limitedFrenchArmyTo
Indicates that an entity imposed restrictions or constraints on the size, capabilities, or actions of the French army relative to another entity or condition.
-
C.
ArmenianCommander
Indicates that an individual serves as a military commander associated with Armenia.
-
D.
SasanianForcesStrength
Indicates the level or magnitude of military power or troop numbers possessed by Sasanian forces in a given context.
-
E.
typeOfTroops
Indicates the specific category or kind of military forces involved in or associated with an entity or event.
- 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_69f0d62a36a88190bf860f00da433ff8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f6732fff7c81908326c2deaffcdf86 |
completed | May 2, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 7:42 p.m.