Triple
T35816986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seiffen church |
E1035389
|
entity |
| Predicate | usedAsMotiveIn |
P19457
|
FINISHED |
| Object | wooden Christmas decorations |
—
|
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: wooden Christmas decorations | Statement: [Seiffen church, usedAsMotiveIn, wooden Christmas decorations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsMotiveIn Context triple: [Seiffen church, usedAsMotiveIn, wooden Christmas decorations]
-
A.
motive
Indicates the underlying reason, intention, or driving force that explains why an entity performs or is associated with a particular action or event.
-
B.
justificationUsedBy
Indicates that a particular justification is employed or relied upon by a given entity (such as a person, system, or decision).
-
C.
usedInArgumentAgainst
Indicates that something (such as a statement, example, or piece of evidence) is employed as support within an argument opposing or criticizing a particular claim, position, or entity.
-
D.
hasMotiveOfCriminals
Indicates that the specified motive is attributed to or associated with the criminals in question.
-
E.
motivationFor
chosen
Indicates that one entity serves as the reason, drive, or incentive behind another entity’s action, state, or occurrence.
- 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_69f76e1762408190b885a8456862e372 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69feb5e66224819083b87c3707a5a5e0 |
completed | May 9, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_69feb3bd700c8190991ed200cd3c04db |
completed | May 9, 2026, 4:10 a.m. |
Created at: May 3, 2026, 4:06 p.m.