Triple
T33921050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herr Landauer |
E869607
|
entity |
| Predicate | isJewishBusinessmanIn |
P177907
|
FINISHED |
| Object | Berlin |
—
|
NE NERFINISHED |
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: Berlin | Statement: [Herr Landauer, isJewishBusinessmanIn, Berlin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isJewishBusinessmanIn Context triple: [Herr Landauer, isJewishBusinessmanIn, Berlin]
-
A.
isBusinessOf
Indicates that one entity is the business, commercial concern, or enterprise associated with, owned by, or operated by another entity.
-
B.
hasBusinessIn
Indicates that one entity conducts, operates, or maintains business activities within the jurisdiction, location, or domain of another entity.
-
C.
hasBusiness
Indicates that one entity owns, operates, or is formally associated with a business entity.
-
D.
hasCorruptBusinessmanCharacter
Indicates that a work includes a character who is a businessman engaged in corrupt or unethical activities.
-
E.
isBusinessCenter
Indicates that a location or facility functions primarily as a hub for business activities, services, or operations.
- 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_69f349992c508190aa4afa24a086cc8c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69f7064d37388190993b2a7305a02b9f |
completed | May 3, 2026, 8:24 a.m. |
Created at: May 1, 2026, 1:49 a.m.