Triple
T14818235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kragujevac |
E348374
|
entity |
| Predicate | memorialSiteFor |
P115845
|
FINISHED |
| Object | World War II massacre of civilians in 1941 |
—
|
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: World War II massacre of civilians in 1941 | Statement: [Kragujevac, memorialSiteFor, World War II massacre of civilians in 1941]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memorialSiteFor Context triple: [Kragujevac, memorialSiteFor, World War II massacre of civilians in 1941]
-
A.
memorialLocatedAt
Indicates that a memorial is situated or found at a specific location.
-
B.
memorialSiteAccess
Indicates that an entity has the right, ability, or permission to enter or use a memorial site.
-
C.
memorialName
Indicates that a memorial is known by or designated with a particular name.
-
D.
memorialWork
Indicates that one entity is a commemorative work (such as a monument, plaque, or artwork) created to honor or remember another entity.
-
E.
memorialType
Indicates the specific kind or category of memorial associated with an entity (e.g., plaque, statue, monument).
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe4cf38819090f25ef045351d5d |
completed | April 14, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69de8c0ef8a4819092d84478b1f56db1 |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de8f4b67cc8190b84b59fcec5cf579 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 10, 2026, 1:50 a.m.