Triple
T24743361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | семья Николая II |
E618625
|
entity |
| Predicate | была расстреляна в |
P89142
|
FINISHED |
| Object | Ипатьевский дом |
—
|
NE NERFINISHED |
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: Ипатьевский дом | Statement: [семья Николая II, была расстреляна в, Ипатьевский дом]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: была расстреляна в Context triple: [семья Николая II, была расстреляна в, Ипатьевский дом]
-
A.
wasShotAt
Indicates that an entity directed gunfire or a shooting attempt toward another entity.
-
B.
killedInAttack
Indicates that an entity died as a direct result of a specific attack event.
-
C.
martyredUnder
Indicates that an entity was killed or executed as a martyr during the rule, authority, or actions of another entity.
-
D.
massacreOccurred
chosen
Indicates that a large-scale, deliberate killing of multiple individuals took place in a specific event or context.
-
E.
killedDuring
Indicates that one entity caused the death of another entity in the course of, or as part of, a specified event or time period.
- 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_69e2fab8f95c81908bb9e552cf3280c2 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f410a25ab88190a72db43043c1f6ff |
completed | May 1, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 4:19 a.m.