Triple
T28498039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sasun |
E721159
|
entity |
| Predicate | impactOfEvents |
P145803
|
FINISHED |
| Object | massacres and displacement of Armenian population |
—
|
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: massacres and displacement of Armenian population | Statement: [Sasun, impactOfEvents, massacres and displacement of Armenian population]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOfEvents Context triple: [Sasun, impactOfEvents, massacres and displacement of Armenian population]
-
A.
impactEvent
Indicates that one entity physically strikes or collides with another, producing a resulting effect or change.
-
B.
impactOfNotableEvent
chosen
Indicates the causal influence or consequences that a specific notable event has on an entity, situation, or outcome.
-
C.
significantEventConsequence
Indicates that one event leads to an important or impactful consequence for another event, state, or entity.
-
D.
impactDescription
Indicates a description of the effect, consequence, or influence that one entity, action, or event has on another.
-
E.
impactOutcome
Indicates that one entity produces an effect or influence that changes the result, consequence, or final state of another entity or situation.
- 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_69f01a5afdac8190ac6e72d5c100bd58 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 28, 2026, 3:05 a.m.