Triple
T4248433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High German consonant shift |
E95783
|
entity |
| Predicate | hasPartialReflexesIn |
P54936
|
FINISHED |
| Object | Central German dialects north of Benrath line |
—
|
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: Central German dialects north of Benrath line | Statement: [High German consonant shift, hasPartialReflexesIn, Central German dialects north of Benrath line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPartialReflexesIn Context triple: [High German consonant shift, hasPartialReflexesIn, Central German dialects north of Benrath line]
-
A.
hasLimbs
Indicates that an entity possesses one or more limbs as physical appendages.
-
B.
hasPartiallyLostUseOf
Indicates that an entity has experienced a reduction, but not a complete loss, in the functional use of another entity.
-
C.
hasSensoryOrgans
Indicates that an entity possesses organs specialized for sensing or perceiving stimuli from its environment.
-
D.
hasPartialSound
Indicates that one entity’s sound is included as a component or segment within the sound of another entity.
-
E.
hasArms
Indicates that an entity possesses arms as physical appendages.
- 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_69b3453f759881909b91f01a1e82c036 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e9cb71481909b4baa370193148f |
completed | March 12, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69b347f73e008190a908a48ef389945a |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e04ef1c81908bb34ae1cbfab1e6 |
completed | March 12, 2026, 11:36 p.m. |
Created at: March 12, 2026, 11:06 p.m.