Triple
T13112389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schlettstadt |
E311003
|
entity |
| Predicate | hasHumanistTradition |
P3629
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Schlettstadt, hasHumanistTradition, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHumanistTradition Context triple: [Schlettstadt, hasHumanistTradition, yes]
-
A.
hasAncientLiteraryTradition
Indicates that an entity possesses a long-established, historically significant body of written literature originating in ancient times.
-
B.
philosophicalTradition
chosen
Indicates a relationship where an entity is associated with, belongs to, or is characterized by a particular philosophical school, movement, or line of thought.
-
C.
hasWritingTraditionVia
Indicates that an entity possesses or participates in a writing tradition by means of, or through the mediation of, another specified entity or method.
-
D.
historicalLanguageOfScholarship
Indicates that a language has historically been used as a primary medium of scholarly, academic, or learned communication for a given community, region, or tradition.
-
E.
theoreticalTradition
Indicates that one entity belongs to, is framed within, or is analyzed according to the theoretical tradition represented by the other 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817f8ee8819084078b4bec5e4f18 |
completed | April 10, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69d98041a3548190a05ddd83dbb660fa |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:05 p.m.