Triple
T10126533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rienzi |
E226228
|
entity |
| Predicate | firstCityOfPerformance |
P85804
|
FINISHED |
| Object | Dresden |
E37454
|
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: Dresden | Statement: [Rienzi, firstCityOfPerformance, Dresden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dresden Context triple: [Rienzi, firstCityOfPerformance, Dresden]
-
A.
Dresden
Dresden is a small community within the municipality of Chatham-Kent in southwestern Ontario, Canada, known historically for its role in the Underground Railroad and Black settlement.
-
B.
Dresden
chosen
Dresden is a historic cultural and economic center in eastern Germany, renowned for its baroque architecture, art collections, and reconstruction after World War II.
-
C.
Leipzig
Leipzig is a major city in eastern Germany known for its rich cultural heritage, vibrant music and arts scene, and important role in trade and commerce.
-
D.
Chemnitz
Chemnitz is a city in eastern Germany known for its industrial heritage and post-reunification urban redevelopment.
-
E.
Magdeburg
Magdeburg is a historic city in central Germany, known for its medieval cathedral, role as a major trading and industrial center, and location on the Elbe River.
- 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: firstCityOfPerformance Context triple: [Rienzi, firstCityOfPerformance, Dresden]
-
A.
firstPerformanceCityOfWork
chosen
Indicates the city where a particular work was first performed.
-
B.
firstProfessionalPerformanceCity
Indicates the city where an entity carried out its first professional performance.
-
C.
performedInCity
Indicates that an action, event, or performance took place within the boundaries of a specified city.
-
D.
firstPerformanceAt
Indicates the location or event at which an entity (such as a work or performance) was first performed.
-
E.
firstUSPerformanceLocation
Indicates the location where an entity was first performed in the United States.
- 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_69ca843057b48190a86730167f5d6b98 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd2eef7388190b95ffd02814f2d1f |
completed | April 2, 2026, 2:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d354c521dc819084b09c9a57c1a26c |
completed | April 6, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba1d360819087698d04a53cc87e |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:05 p.m.