Triple
T29814148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goldstadt |
E757056
|
entity |
| Predicate | associatedWithHistoricalReputation |
P197480
|
FINISHED |
| Object | center of German jewelry production |
—
|
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: center of German jewelry production | Statement: [Goldstadt, associatedWithHistoricalReputation, center of German jewelry production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithHistoricalReputation Context triple: [Goldstadt, associatedWithHistoricalReputation, center of German jewelry production]
-
A.
associatedWithReputation
Indicates a relationship where an entity is linked to, influenced by, or characterized in terms of another entity’s reputation or perceived standing.
-
B.
historical reputation
chosen
Indicates how an entity is collectively judged or regarded over time based on its past actions, impact, or legacy.
-
C.
haveReputation
Indicates that an entity is recognized or regarded in a certain way by others, reflecting its perceived character, quality, or status.
-
D.
hasReputationAmong
Indicates that an entity is regarded or perceived in a particular way by a specified group or audience.
-
E.
hasNegativeHistoricalAssociation
Indicates that one entity is historically linked to another in a way that is viewed as harmful, problematic, or disreputable.
- 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_69f2245701c88190ad42415a0956c4ed |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e0f3d88190a4ee7b0673f1ef90 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 5:25 p.m.