Triple
T16700014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treves |
E405818
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Feyen/Weismark
Feyen/Weismark is a district of the German city of Trier, located in the state of Rhineland-Palatinate.
|
E1229356
|
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: Feyen/Weismark | Statement: [Treves, hasDistrict, Feyen/Weismark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Feyen/Weismark Context triple: [Treves, hasDistrict, Feyen/Weismark]
-
A.
Faehlmann
Faehlmann is a surname most notably associated with Friedrich Robert Faehlmann, a prominent 19th-century Estonian writer, physician, and folklorist.
-
B.
Fahrenkopf
Fahrenkopf is a surname most prominently associated with Frank J. Fahrenkopf Jr., an American lawyer, lobbyist, and former chairman of the Republican National Committee.
-
C.
Weyers
Weyers is a Germanic-origin surname borne by various individuals, including the South African actor Marius Weyers.
-
D.
Feuchtinger
Feuchtinger is a German surname most notably associated with Edgar Feuchtinger, a German general during World War II.
-
E.
Frohwerk
Frohwerk was a defendant in the 1919 U.S. Supreme Court case Frohwerk v. United States, which addressed criminal liability for anti-war publications under the Espionage Act during World War I.
- 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: Feyen/Weismark Triple: [Treves, hasDistrict, Feyen/Weismark]
Generated description
Feyen/Weismark is a district of the German city of Trier, located in the state of Rhineland-Palatinate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Feyen/Weismark Target entity description: Feyen/Weismark is a district of the German city of Trier, located in the state of Rhineland-Palatinate.
-
A.
Faehlmann
Faehlmann is a surname most notably associated with Friedrich Robert Faehlmann, a prominent 19th-century Estonian writer, physician, and folklorist.
-
B.
Fahrenkopf
Fahrenkopf is a surname most prominently associated with Frank J. Fahrenkopf Jr., an American lawyer, lobbyist, and former chairman of the Republican National Committee.
-
C.
Weyers
Weyers is a Germanic-origin surname borne by various individuals, including the South African actor Marius Weyers.
-
D.
Feuchtinger
Feuchtinger is a German surname most notably associated with Edgar Feuchtinger, a German general during World War II.
-
E.
Frohwerk
Frohwerk was a defendant in the 1919 U.S. Supreme Court case Frohwerk v. United States, which addressed criminal liability for anti-war publications under the Espionage Act during World War I.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e383300d108190911e3cba8e07f2dd |
completed | April 18, 2026, 1:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00919ee61c81909928dd26270e9614 |
completed | May 10, 2026, 2:09 p.m. |
| NEDg | Description generation | batch_6a00925fda608190b3674bd5e9ca6bf5 |
completed | May 10, 2026, 2:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00939075d88190a63cdd942eb3fea8 |
completed | May 10, 2026, 2:17 p.m. |
Created at: April 10, 2026, 5:19 a.m.