Triple
T9098196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Žilina |
E218081
|
entity |
| Predicate | historicalName |
P65
|
FINISHED |
| Object |
Zsolna (Hungarian)
Zsolna is the Hungarian name for Žilina, a major city in northwestern Slovakia known as an important industrial and transport hub.
|
E778053
|
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: Zsolna (Hungarian) | Statement: [Žilina, historicalName, Zsolna (Hungarian)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zsolna (Hungarian) Context triple: [Žilina, historicalName, Zsolna (Hungarian)]
-
A.
Zalaegerszeg
Zalaegerszeg is a city in western Hungary that serves as the administrative center of Zala County and a regional economic and cultural hub.
-
B.
Oroszlány
Oroszlány is a town in northwestern Hungary known historically for its coal mining and industrial character.
-
C.
Ricse, Hungary
Ricse, Hungary is a small village in northeastern Hungary best known as the birthplace of film mogul Adolph Zukor, a founder of Paramount Pictures.
-
D.
Sátoraljaújhely
Sátoraljaújhely is a historic town in northeastern Hungary near the Slovak border, known for its wine region, cultural heritage, and scenic Zemplén Mountains setting.
-
E.
Tiszaújváros
Tiszaújváros is an industrial town in northeastern Hungary known for its large chemical and energy industries and its location along the Tisza River.
- 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: Zsolna (Hungarian) Triple: [Žilina, historicalName, Zsolna (Hungarian)]
Generated description
Zsolna is the Hungarian name for Žilina, a major city in northwestern Slovakia known as an important industrial and transport hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zsolna (Hungarian) Target entity description: Zsolna is the Hungarian name for Žilina, a major city in northwestern Slovakia known as an important industrial and transport hub.
-
A.
Zalaegerszeg
Zalaegerszeg is a city in western Hungary that serves as the administrative center of Zala County and a regional economic and cultural hub.
-
B.
Oroszlány
Oroszlány is a town in northwestern Hungary known historically for its coal mining and industrial character.
-
C.
Ricse, Hungary
Ricse, Hungary is a small village in northeastern Hungary best known as the birthplace of film mogul Adolph Zukor, a founder of Paramount Pictures.
-
D.
Sátoraljaújhely
Sátoraljaújhely is a historic town in northeastern Hungary near the Slovak border, known for its wine region, cultural heritage, and scenic Zemplén Mountains setting.
-
E.
Tiszaújváros
Tiszaújváros is an industrial town in northeastern Hungary known for its large chemical and energy industries and its location along the Tisza River.
- 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_69ca83d9844081908e561e367fda6d45 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc970f340881909f5551219f151acf |
completed | April 1, 2026, 3:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d01824ee2081909cc5e6ae33fab2e5 |
completed | April 3, 2026, 7:42 p.m. |
| NEDg | Description generation | batch_69d019666cb08190b66298ff86a7e1af |
completed | April 3, 2026, 7:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d01a700ce48190868d445bde2462dc |
completed | April 3, 2026, 7:52 p.m. |
Created at: March 30, 2026, 7:15 p.m.