Triple
T17429504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Befreiungshalle near Kelheim |
E423829
|
entity |
| Predicate | victoryStatuesSymbolize |
P85290
|
FINISHED |
| Object | German tribes and states |
—
|
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: German tribes and states | Statement: [Befreiungshalle near Kelheim, victoryStatuesSymbolize, German tribes and states]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: victoryStatuesSymbolize Context triple: [Befreiungshalle near Kelheim, victoryStatuesSymbolize, German tribes and states]
-
A.
topStatue
Indicates that one entity is positioned as a statue on top of another entity.
-
B.
monumentDepicts
chosen
Indicates that a monument visually represents, portrays, or is dedicated to a particular person, event, concept, or object.
-
C.
statuesBy
Indicates that one entity is the creator, sculptor, or originator of statues depicting or associated with another entity.
-
D.
statueName
Indicates that a statue has a specific name or title associated with it.
-
E.
emblemSymbolism
Indicates that one entity serves as an emblem whose design or features symbolically represent or convey meanings about another entity.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e448fe9e28819092a80f5686eb362f |
completed | April 19, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69e3b030eac481909b8402719cc3102e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:46 a.m.