Triple
T19002241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uherské Hradiště |
E464982
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object |
Mayen
Mayen is a town in western Germany’s Rhineland-Palatinate region, known for its historic castle and role as a local economic and cultural center.
|
E1354585
|
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: Mayen | Statement: [Uherské Hradiště, twinTown, Mayen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mayen Context triple: [Uherské Hradiště, twinTown, Mayen]
-
A.
Mayen
Mayen is a surname most notably borne by Dutch seafarer and explorer Jan Jacobszoon Mayen, after whom the Arctic island of Jan Mayen is named.
-
B.
Helsa
Helsa is a small municipality in the state of Hesse in central Germany.
-
C.
Senja
Senja is Norway’s second-largest island, renowned for its dramatic coastal mountains, fishing villages, and scenic Arctic landscapes.
-
D.
Steinsel
Steinsel is a small commune and town in central Luxembourg, situated just north of the capital city.
-
E.
Lonsee
Lonsee is a small municipality in the Alb-Donau district of Baden-Württemberg, Germany, situated on the Swabian Jura near the city of Ulm.
- 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: Mayen Triple: [Uherské Hradiště, twinTown, Mayen]
Generated description
Mayen is a town in western Germany’s Rhineland-Palatinate region, known for its historic castle and role as a local economic and cultural center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mayen Target entity description: Mayen is a town in western Germany’s Rhineland-Palatinate region, known for its historic castle and role as a local economic and cultural center.
-
A.
Mayen
Mayen is a surname most notably borne by Dutch seafarer and explorer Jan Jacobszoon Mayen, after whom the Arctic island of Jan Mayen is named.
-
B.
Helsa
Helsa is a small municipality in the state of Hesse in central Germany.
-
C.
Senja
Senja is Norway’s second-largest island, renowned for its dramatic coastal mountains, fishing villages, and scenic Arctic landscapes.
-
D.
Steinsel
Steinsel is a small commune and town in central Luxembourg, situated just north of the capital city.
-
E.
Lonsee
Lonsee is a small municipality in the Alb-Donau district of Baden-Württemberg, Germany, situated on the Swabian Jura near the city of Ulm.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d687cb2081909bf3ac761e292f22 |
completed | April 20, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05be49f9ac8190b4bb5836f4b8ffdd |
completed | May 14, 2026, 12:21 p.m. |
| NEDg | Description generation | batch_6a05bf77069c8190ad286e2efc5901c6 |
completed | May 14, 2026, 12:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05c017b7f0819087d42df1fe099ab9 |
completed | May 14, 2026, 12:29 p.m. |
Created at: April 10, 2026, 12:01 p.m.