Triple
T21491641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krbava |
E530250
|
entity |
| Predicate | mappingReference |
P9922
|
FINISHED |
| Object | Austro-Hungarian military maps of Croatia |
—
|
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: Austro-Hungarian military maps of Croatia | Statement: [Krbava, mappingReference, Austro-Hungarian military maps of Croatia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mappingReference Context triple: [Krbava, mappingReference, Austro-Hungarian military maps of Croatia]
-
A.
mapsFrom
chosen
Indicates that one entity is derived, transformed, or constructed based on data, structure, or content originating from another entity.
-
B.
mappingNote
Indicates a descriptive note or comment that provides additional information about a specific mapping or correspondence between entities.
-
C.
mapsTo
Indicates that one entity is associated with or transformed into another entity, typically defining a directional correspondence or function from a source to a target.
-
D.
mapped
Indicates that one entity has been associated, corresponded, or linked systematically to another according to some defined mapping or alignment.
-
E.
mappingType
Indicates the specific kind or category of correspondence established between two related elements or representations.
- 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_69e0c45bd15481909fba5910765cdda2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea3ba2fc81909638bbb3e1d92ea5 |
completed | April 23, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69e631f6e68081908f5ee4ce7413803e |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:22 p.m.