Triple
T5949178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worthing |
E132353
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Körmend
Körmend is a small town in western Hungary, known for its historic castle and location near the Austrian border.
|
E559598
|
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: Körmend | Statement: [Worthing, hasTwinTown, Körmend]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Körmend Context triple: [Worthing, hasTwinTown, Körmend]
-
A.
Kőszeg
Kőszeg is a historic Hungarian town near the Austrian border, renowned for its well-preserved medieval architecture and role in defending against Ottoman sieges.
-
B.
Komló
Komló is a town in southern Hungary known historically for its coal mining and hop-growing industries.
-
C.
Kozármisleny
Kozármisleny is a small town in southern Hungary, near Pécs, known for its growing residential character and local sports culture.
-
D.
Törökbálint
Törökbálint is a town in Pest County, Hungary, located just southwest of Budapest and known as a suburban residential area with growing commercial and industrial zones.
-
E.
Zamárdi
Zamárdi is a popular Hungarian resort town on the southern shore of Lake Balaton, known for its beaches, lakeside recreation, and summer festivals.
- 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: Körmend Triple: [Worthing, hasTwinTown, Körmend]
Generated description
Körmend is a small town in western Hungary, known for its historic castle and location near the Austrian border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Körmend Target entity description: Körmend is a small town in western Hungary, known for its historic castle and location near the Austrian border.
-
A.
Kőszeg
Kőszeg is a historic Hungarian town near the Austrian border, renowned for its well-preserved medieval architecture and role in defending against Ottoman sieges.
-
B.
Komló
Komló is a town in southern Hungary known historically for its coal mining and hop-growing industries.
-
C.
Kozármisleny
Kozármisleny is a small town in southern Hungary, near Pécs, known for its growing residential character and local sports culture.
-
D.
Törökbálint
Törökbálint is a town in Pest County, Hungary, located just southwest of Budapest and known as a suburban residential area with growing commercial and industrial zones.
-
E.
Zamárdi
Zamárdi is a popular Hungarian resort town on the southern shore of Lake Balaton, known for its beaches, lakeside recreation, and summer festivals.
- 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_69c00869d3308190af89b2453e0f7546 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0397deea08190b9397d0413740300 |
completed | March 22, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3c4120c8190bab97f91a7bc7030 |
completed | March 23, 2026, 6:55 a.m. |
| NEDg | Description generation | batch_69c0f66f787c81909f76556d8e688a9a |
completed | March 23, 2026, 8:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0f73744b08190b82c538fa723c42a |
completed | March 23, 2026, 8:17 a.m. |
Created at: March 22, 2026, 4:02 p.m.