Triple
T11788133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rumbula forest |
E280322
|
entity |
| Predicate | hasMemorialFeature |
P75587
|
FINISHED |
| Object | Star of David shaped central monument |
—
|
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: Star of David shaped central monument | Statement: [Rumbula forest, hasMemorialFeature, Star of David shaped central monument]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMemorialFeature Context triple: [Rumbula forest, hasMemorialFeature, Star of David shaped central monument]
-
A.
hasMemorial
Indicates that a memorial exists in honor of, or dedicated to, a particular entity.
-
B.
hasMemorialContext
Indicates that something is related to, associated with, or situated within the context of a memorial or commemorative setting.
-
C.
hasAdjacentMemorial
Indicates that one memorial is located directly next to or in close proximity to another memorial.
-
D.
hasCommemorativeStructure
chosen
Indicates that one entity possesses or is associated with a physical structure created to honor, remember, or commemorate another entity or event.
-
E.
hasCommemorationFunction
Indicates that something serves the role or purpose of commemorating an event, person, group, or concept.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a586803481909af0032c35ca6e51 |
completed | April 10, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69d8a2491f048190853239bc05090bf4 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:42 p.m.