Triple
T19523551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riga Central Market |
E488462
|
entity |
| Predicate | formerUseOfStructures |
P55864
|
FINISHED |
| Object | German Zeppelin hangars |
—
|
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 Zeppelin hangars | Statement: [Riga Central Market, formerUseOfStructures, German Zeppelin hangars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerUseOfStructures Context triple: [Riga Central Market, formerUseOfStructures, German Zeppelin hangars]
-
A.
usedStructure
Indicates that one entity makes use of, relies on, or operates through a particular structure (physical, logical, or organizational) to perform its function or action.
-
B.
remainingStructuresUsedFor
Indicates that the remaining structures of an entity are utilized for a specified purpose or function.
-
C.
previousBuildingUse
chosen
Indicates that a building previously served a specified use or function before its current one.
-
D.
demolishedOriginalStructures
Indicates that one entity has completely destroyed or removed the original structures associated with another entity.
-
E.
reusesStructureOf
Indicates that one entity adopts or incorporates the structural design or organization of 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e636392444819094f6a2aa1cdf3d42 |
completed | April 20, 2026, 2:20 p.m. |
| PD | Predicate disambiguation | batch_69e514c9c00481909b76bda67957e58b |
completed | April 19, 2026, 5:45 p.m. |
Created at: April 10, 2026, 1:41 p.m.