Triple
T28235069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sauda coat of arms |
E711855
|
entity |
| Predicate | orientationOfHammer |
P165133
|
FINISHED |
| Object | bendwise |
—
|
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: bendwise | Statement: [Sauda coat of arms, orientationOfHammer, bendwise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orientationOfHammer Context triple: [Sauda coat of arms, orientationOfHammer, bendwise]
-
A.
hammerRepresents
Indicates that one entity serves as a symbolic or representative depiction of a hammer in relation to another entity.
-
B.
hammerType
Indicates the specific kind or category of hammer associated with an entity.
-
C.
spearOrientation
Indicates the directional alignment or pointing direction of a spear relative to a reference frame or target.
-
D.
ringOrientation
Indicates the spatial alignment or facing direction of a ring relative to a reference frame or object.
-
E.
shaftOrientation
Indicates the directional alignment or angle at which a shaft is positioned or oriented relative to a reference frame or object.
- 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_69efb51ece308190b8c269a057e36652 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f65705a3048190a3728b695ba2ae65 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f6562ef4e4819082ce6abd41b74dc5 |
completed | May 2, 2026, 7:53 p.m. |
Created at: April 27, 2026, 10:54 p.m.