Triple
T6023440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katyn war cemetery |
E134117
|
entity |
| Predicate | massacreYear |
P68809
|
FINISHED |
| Object | 1940 |
—
|
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: 1940 | Statement: [Katyn war cemetery, massacreYear, 1940]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: massacreYear Context triple: [Katyn war cemetery, massacreYear, 1940]
-
A.
majorMassacre
Indicates a relationship where an event involves the large-scale, deliberate killing of many individuals, typically characterized by extreme violence and high casualty numbers.
-
B.
significantMassacre
Indicates that a massacre event is of notable scale, impact, or historical importance relative to other such events.
-
C.
dateOfTragedy
Indicates the specific calendar date on which a tragic event occurred.
-
D.
genocideStartYear
Indicates the calendar year in which a genocide is initiated or begins.
-
E.
numberOfPrisonersKilledDuringSeptemberMassacres
Indicates the count of prisoners who were killed during the September Massacres.
- F. None of above. chosen
Provenance (4 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_69c008742a5c8190b9cb9c2787a3d8b3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04fbd7978819085d683578bc62aa3 |
completed | March 22, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69c049e75b3881908be106fbcf8c68d4 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8c5bfc8190b986a7071d1b23e3 |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:07 p.m.