Triple
T14438576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turda |
E358030
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Thorenburg
Thorenburg is the German name for the Romanian city of Turda, a historic settlement in Transylvania known for its ancient salt mines and medieval heritage.
|
E1099334
|
NE FINISHED |
How this triple was built (4 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: Thorenburg | Statement: [Turda, hasAlternativeName, Thorenburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thorenburg Context triple: [Turda, hasAlternativeName, Thorenburg]
-
A.
Ortenburg
Ortenburg is a market town in Lower Bavaria, Germany, known for its historic castle and role as a former seat of the Counts of Ortenburg.
-
B.
Thurnau
Thurnau is a market town in northern Bavaria, Germany, known for its historic castle and traditional Franconian architecture.
-
C.
Treuburg
Treuburg is the former German name of the town now known as Olecko, located in northeastern Poland.
-
D.
Berlinghausen
Berlinghausen is a village within the municipality of Möhnesee in North Rhine-Westphalia, Germany.
-
E.
Brannenburg
Brannenburg is a Bavarian municipality in southern Germany, known for its scenic Alpine setting and outdoor recreation opportunities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Thorenburg Triple: [Turda, hasAlternativeName, Thorenburg]
Generated description
Thorenburg is the German name for the Romanian city of Turda, a historic settlement in Transylvania known for its ancient salt mines and medieval heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thorenburg Target entity description: Thorenburg is the German name for the Romanian city of Turda, a historic settlement in Transylvania known for its ancient salt mines and medieval heritage.
-
A.
Ortenburg
Ortenburg is a market town in Lower Bavaria, Germany, known for its historic castle and role as a former seat of the Counts of Ortenburg.
-
B.
Thurnau
Thurnau is a market town in northern Bavaria, Germany, known for its historic castle and traditional Franconian architecture.
-
C.
Treuburg
Treuburg is the former German name of the town now known as Olecko, located in northeastern Poland.
-
D.
Berlinghausen
Berlinghausen is a village within the municipality of Möhnesee in North Rhine-Westphalia, Germany.
-
E.
Brannenburg
Brannenburg is a Bavarian municipality in southern Germany, known for its scenic Alpine setting and outdoor recreation opportunities.
- F. None of above. chosen
Provenance (5 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de914a45ec81909ab8ccf302047d7f |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bd7f46881908df1a1cea7b6af9b |
completed | May 8, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_69fd5d585cc08190908bc5f9b8abdb82 |
completed | May 8, 2026, 3:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5e0bbd6c8190b14039b3335692c7 |
completed | May 8, 2026, 3:52 a.m. |
Created at: April 10, 2026, 1:18 a.m.