Triple
T14059734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heves County |
E338311
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Verpelét
Verpelét is a small town in northern Hungary known for its wine production and location near the Bükk and Mátra mountain ranges.
|
E1078683
|
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: Verpelét | Statement: [Heves County, contains, Verpelét]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verpelét Context triple: [Heves County, contains, Verpelét]
-
A.
Pévèle
Pévèle is a rural area in northern France known for its gently rolling farmland, small towns, and role as a traditional cobbled sector in the Paris–Roubaix cycling race.
-
B.
Volm
The Volm are an advanced alien species in the TV series "Falling Skies" who arrive on Earth as potential allies to humanity in its war against the Espheni invaders.
-
C.
Vimperk
Vimperk is a historic town in the Czech Republic known for its medieval castle, traditional glassmaking, and location in the Šumava (Bohemian Forest) foothills.
-
D.
Vopiscus
Vopiscus is a rare and archaic Latin praenomen (given name) occasionally used in ancient Roman families such as the gens Julia.
-
E.
Veltro
Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
- 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: Verpelét Triple: [Heves County, contains, Verpelét]
Generated description
Verpelét is a small town in northern Hungary known for its wine production and location near the Bükk and Mátra mountain ranges.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Verpelét Target entity description: Verpelét is a small town in northern Hungary known for its wine production and location near the Bükk and Mátra mountain ranges.
-
A.
Pévèle
Pévèle is a rural area in northern France known for its gently rolling farmland, small towns, and role as a traditional cobbled sector in the Paris–Roubaix cycling race.
-
B.
Volm
The Volm are an advanced alien species in the TV series "Falling Skies" who arrive on Earth as potential allies to humanity in its war against the Espheni invaders.
-
C.
Vimperk
Vimperk is a historic town in the Czech Republic known for its medieval castle, traditional glassmaking, and location in the Šumava (Bohemian Forest) foothills.
-
D.
Vopiscus
Vopiscus is a rare and archaic Latin praenomen (given name) occasionally used in ancient Roman families such as the gens Julia.
-
E.
Veltro
Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
- 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.