Triple
T929526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luther’s Ninety-five Theses |
E20058
|
entity |
| Predicate | intendedForm |
P130
|
FINISHED |
| Object | academic disputation |
—
|
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: academic disputation | Statement: [Luther’s Ninety-five Theses, intendedForm, academic disputation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedForm Context triple: [Luther’s Ninety-five Theses, intendedForm, academic disputation]
-
A.
typicalForm
Indicates that one entity represents the standard, characteristic, or most common form or shape in which another entity typically appears or is realized.
-
B.
alternativeForm
Indicates that one entity is an alternative version, variant, or representation of another entity.
-
C.
originalForm
Indicates that one entity is the earlier, source, or initial version from which another entity is derived or transformed.
-
D.
format
chosen
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
E.
formsFrom
Indicates that one entity is created, derived, or takes shape as a result of another entity.
- 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b349b3d0819090c58b4fb60c6a1b |
completed | March 1, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69a4b29876348190a29f4ff9878074a5 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.