Triple
T25427919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hiljainen kansa |
E637166
|
entity |
| Predicate | hasTypeOfFigures |
P116630
|
FINISHED |
| Object | scarecrow-like figures |
—
|
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: scarecrow-like figures | Statement: [Hiljainen kansa, hasTypeOfFigures, scarecrow-like figures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfFigures Context triple: [Hiljainen kansa, hasTypeOfFigures, scarecrow-like figures]
-
A.
typeOfFigure
Indicates that one entity is a specific kind or category of geometric figure relative to another.
-
B.
figureType
chosen
Indicates that one entity is classified as a specific type or category of figure in relation to another entity.
-
C.
includesFigureType
Indicates that one entity contains or encompasses a specific type or category of figure within it.
-
D.
eraOfFigure
Indicates the historical period or era during which a particular figure was active, influential, or primarily associated.
-
E.
numberOfFiguresDepicted
Indicates the total count of distinct figures shown within a given depiction or representation.
- 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_69e75db58a1c8190891b9ff7c2f8414e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 21, 2026, 1:57 p.m.