Triple
T19101335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wulf (name element) |
E467535
|
entity |
| Predicate | modernReflexInGerman |
P134378
|
FINISHED |
| Object | Wolf |
—
|
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: Wolf | Statement: [Wulf (name element), modernReflexInGerman, Wolf]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernReflexInGerman Context triple: [Wulf (name element), modernReflexInGerman, Wolf]
-
A.
modernEquivalent
Indicates that one entity serves as the contemporary or updated counterpart of another earlier or traditional entity.
-
B.
modernUse
Indicates how something is currently used or applied in modern times.
-
C.
modernInterpretation
Indicates that one entity is a contemporary or updated interpretation, reading, or understanding of another entity.
-
D.
modernVariation
Indicates that one entity is a contemporary or updated version, adaptation, or reinterpretation of another.
-
E.
reflects
Indicates that one entity (often a surface, medium, or representation) throws back, mirrors, or otherwise shows an image, property, or state of 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e36de7bc8190b353ed59e12e4631 |
completed | April 20, 2026, 8:27 a.m. |
| PD | Predicate disambiguation | batch_69e4b9ac41848190afd0f33b42cebe99 |
completed | April 19, 2026, 11:17 a.m. |
| PDg | Predicate description generation | batch_69e4bfe8a06081909fd5c28a33e9f218 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:04 p.m.