Triple
T8587735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finnish coat of arms |
E203347
|
entity |
| Predicate | tramples |
P83730
|
FINISHED |
| Object | sabre |
—
|
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: sabre | Statement: [Finnish coat of arms, tramples, sabre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tramples Context triple: [Finnish coat of arms, tramples, sabre]
-
A.
trap
Indicates that an entity captures, confines, or ensnares another entity, typically preventing its escape or movement.
-
B.
tackles
Indicates that one entity forcefully brings another entity to the ground or physically stops their movement, typically in a competitive or confrontational context.
-
C.
fallsOn
Indicates that one entity descends due to gravity and comes to rest upon the surface of another entity.
-
D.
fallsFrom
Indicates that one entity moves downward or drops starting from the location or position of another entity.
-
E.
fallsIn
Indicates that one entity is located within, contained by, or geographically/administratively included inside another entity.
- F. None of above. chosen
Provenance (4 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46c5e8888190b721e791c449b0df |
completed | March 31, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cc454504448190aaad2af8b17357cd |
completed | March 31, 2026, 10:05 p.m. |
| PDg | Predicate description generation | batch_69cc46c330bc8190a9b644078881c6ff |
completed | March 31, 2026, 10:12 p.m. |
Created at: March 30, 2026, 6:23 p.m.