Triple
T9819561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County of Wertheim |
E238493
|
entity |
| Predicate | hadTown |
P847
|
FINISHED |
| Object | Wertheim |
E364483
|
NE FINISHED |
How this triple was built (3 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: Wertheim | Statement: [County of Wertheim, hadTown, Wertheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wertheim Context triple: [County of Wertheim, hadTown, Wertheim]
-
A.
Wertheim
chosen
Wertheim is a German-origin surname borne by various notable individuals in fields such as finance, philanthropy, and the arts.
-
B.
Löwenthal
Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
-
C.
Hohberg
Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
-
D.
Biesenthal
Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
-
E.
Wackernheim
Wackernheim is a village in Rhineland-Palatinate, Germany, that forms part of the town of Ingelheim am Rhein.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadTown Context triple: [County of Wertheim, hadTown, Wertheim]
-
A.
hasTown
chosen
Indicates that one entity possesses, contains, or is associated with a town as part of its structure, jurisdiction, or composition.
-
B.
hasTownship
Indicates that one administrative area or jurisdiction includes or is associated with a specific township.
-
C.
fromTown
Indicates that one entity originates from, or is associated as being from, a particular town represented by the other entity.
-
D.
hadFort
Indicates that an entity possessed, controlled, or contained a fort at some time.
-
E.
hostTown
Indicates that one entity is the town or municipality that hosts, contains, or serves as the location for the other entity.
- F. None of above.
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_69ca84dfde1481909f47c286d715f892 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb2f74e348190be8e4394ae6fe3fe |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5b599f88190a8f54771c4a75e58 |
completed | April 5, 2026, 3:23 a.m. |
| PD | Predicate disambiguation | batch_69cd03e01ea881909a7d93fc3994ace5 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:31 p.m.