Triple
T14059755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heves County |
E338311
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Tarnazsadány
Tarnazsadány is a small village in northern Hungary, situated within Heves County and characterized by its rural, agricultural setting.
|
E1078693
|
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: Tarnazsadány | Statement: [Heves County, contains, Tarnazsadány]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarnazsadány Context triple: [Heves County, contains, Tarnazsadány]
-
A.
Taznatit
Taznatit is a Berber language whose features have influenced the development and structure of the Korandje language.
-
B.
La Tzoumaz
La Tzoumaz is a Swiss alpine village and ski resort in the 4 Vallées region, known for its family-friendly slopes and access to extensive interconnected ski terrain.
-
C.
Zagyva
Zagyva is a river in northern Hungary that flows through towns such as Salgótarján and Hatvan before joining the Tisza River.
-
D.
Tzurulum
Tzurulum is the historical name of the modern Turkish city of Çorlu, a long-inhabited settlement in Eastern Thrace.
-
E.
Nashtanirh
Nashtanirh is a Bengali novella by Rabindranath Tagore that explores the emotional isolation and inner life of a neglected, intellectually gifted woman in a late 19th-century upper-class household.
- 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: Tarnazsadány Triple: [Heves County, contains, Tarnazsadány]
Generated description
Tarnazsadány is a small village in northern Hungary, situated within Heves County and characterized by its rural, agricultural setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tarnazsadány Target entity description: Tarnazsadány is a small village in northern Hungary, situated within Heves County and characterized by its rural, agricultural setting.
-
A.
Taznatit
Taznatit is a Berber language whose features have influenced the development and structure of the Korandje language.
-
B.
La Tzoumaz
La Tzoumaz is a Swiss alpine village and ski resort in the 4 Vallées region, known for its family-friendly slopes and access to extensive interconnected ski terrain.
-
C.
Zagyva
Zagyva is a river in northern Hungary that flows through towns such as Salgótarján and Hatvan before joining the Tisza River.
-
D.
Tzurulum
Tzurulum is the historical name of the modern Turkish city of Çorlu, a long-inhabited settlement in Eastern Thrace.
-
E.
Nashtanirh
Nashtanirh is a Bengali novella by Rabindranath Tagore that explores the emotional isolation and inner life of a neglected, intellectually gifted woman in a late 19th-century upper-class household.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5686f51c81908c33143ecbaae83d |
completed | April 14, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb662c37c8190a629278a97060080 |
completed | May 7, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69fcc99fca8c8190bbcafba5bacfdfda |
completed | May 7, 2026, 5:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcca3a375c819092b3f67612d2ec0c |
completed | May 7, 2026, 5:22 p.m. |
Created at: April 9, 2026, 10:21 p.m.