Triple
T14994627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bremen Roland statue |
E373923
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Bremer Roland
Bremer Roland is a famous medieval statue in Bremen, Germany, symbolizing the city’s freedom and market rights.
|
E1131159
|
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: Bremer Roland | Statement: [Bremen Roland statue, alsoKnownAs, Bremer Roland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bremer Roland Context triple: [Bremen Roland statue, alsoKnownAs, Bremer Roland]
-
A.
Leiningen
Leiningen is a popular build automation and project management tool for the Clojure programming language, used to manage dependencies, run tasks, and streamline development workflows.
-
B.
Burgard
Burgard is a German surname borne by individuals such as the computer scientist Wolfram Burgard.
-
C.
Heideck
Heideck was a notable Philhellene, remembered for his support of the Greek cause during the Greek War of Independence.
-
D.
Dukenburg
Dukenburg is a residential district in the southwest of Nijmegen in the Netherlands, known for its post-war urban planning and local railway connectivity.
-
E.
Heinrici
Heinrici is a German surname most notably associated with Gotthard Heinrici, a senior Wehrmacht general during World War II.
- 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: Bremer Roland Triple: [Bremen Roland statue, alsoKnownAs, Bremer Roland]
Generated description
Bremer Roland is a famous medieval statue in Bremen, Germany, symbolizing the city’s freedom and market rights.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bremer Roland Target entity description: Bremer Roland is a famous medieval statue in Bremen, Germany, symbolizing the city’s freedom and market rights.
-
A.
Leiningen
Leiningen is a popular build automation and project management tool for the Clojure programming language, used to manage dependencies, run tasks, and streamline development workflows.
-
B.
Burgard
Burgard is a German surname borne by individuals such as the computer scientist Wolfram Burgard.
-
C.
Heideck
Heideck was a notable Philhellene, remembered for his support of the Greek cause during the Greek War of Independence.
-
D.
Dukenburg
Dukenburg is a residential district in the southwest of Nijmegen in the Netherlands, known for its post-war urban planning and local railway connectivity.
-
E.
Heinrici
Heinrici is a German surname most notably associated with Gotthard Heinrici, a senior Wehrmacht general during World War II.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded716ebb481908224d2d4f7561b03 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe969a63f081908bf11783e2a51229 |
completed | May 9, 2026, 2:06 a.m. |
| NEDg | Description generation | batch_69fe97609b3481908ed481f9f061b148 |
completed | May 9, 2026, 2:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe980155748190aef4ce876f985ef2 |
completed | May 9, 2026, 2:12 a.m. |
Created at: April 10, 2026, 2:53 a.m.