Triple
T29456010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dashnaktsutyun |
E747101
|
entity |
| Predicate | hasParamilitaryHistory |
P149849
|
FINISHED |
| Object | activities in Ottoman Empire |
—
|
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: activities in Ottoman Empire | Statement: [Dashnaktsutyun, hasParamilitaryHistory, activities in Ottoman Empire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParamilitaryHistory Context triple: [Dashnaktsutyun, hasParamilitaryHistory, activities in Ottoman Empire]
-
A.
wasMilitarizedDuring
Indicates that an entity transitioned to or adopted a military character, role, or control during a specified time period or event.
-
B.
hasHistoricalPeriodOfConflict
Indicates that there exists a specific historical period during which the related entities were engaged in conflict or hostilities.
-
C.
hasMilitaryWingHistory
chosen
Indicates that an entity has, or has had in the past, an associated military wing or armed branch as part of its history.
-
D.
hasArmedStruggle
Indicates that an entity engages in or is characterized by organized, armed conflict or resistance as a means of pursuing its goals.
-
E.
wasMilitarized
Indicates that an entity underwent a process of being organized, equipped, or adapted for military use or purposes.
- 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_69f0a7a230488190b44a97fe3d16f731 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69fd76d1e5208190a6f26651492d1e3c |
completed | May 8, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69fd702a226c81908edfda00f4be4130 |
completed | May 8, 2026, 5:10 a.m. |
Created at: April 28, 2026, 3:36 p.m.