Triple

T10182122
Position Surface form Disambiguated ID Type / Status
Subject Bicske E236811 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Herceghalom
Herceghalom is a small village in Fejér County, Hungary, situated in the central Transdanubian region.
 E955715 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: Herceghalom | Statement: [Bicske, hasNearbySettlement, Herceghalom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Herceghalom
Context triple: [Bicske, hasNearbySettlement, Herceghalom]
  • A. Harkány
    Harkány is a Hungarian spa town in southern Transdanubia renowned for its medicinal thermal baths and health tourism.
  • B. Gyulafehérvár
    Gyulafehérvár, known today as Alba Iulia in Romania, is a historic city that served as the political and cultural center of Transylvania for centuries.
  • C. Kalocsa
    Kalocsa is a historic town in southern Hungary known as an important Roman Catholic archiepiscopal center and for its traditional paprika production and folk art.
  • D. Sopron
    Sopron is a historic city in western Hungary near the Austrian border, known for its well-preserved medieval old town and wine-making traditions.
  • E. Szentlőrinc
    Szentlőrinc is a small town in southern Hungary known for its agricultural surroundings and role as a local service and transport hub in Baranya County.
  • 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: Herceghalom
Triple: [Bicske, hasNearbySettlement, Herceghalom]
Generated description
Herceghalom is a small village in Fejér County, Hungary, situated in the central Transdanubian region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Herceghalom
Target entity description: Herceghalom is a small village in Fejér County, Hungary, situated in the central Transdanubian region.
  • A. Harkány
    Harkány is a Hungarian spa town in southern Transdanubia renowned for its medicinal thermal baths and health tourism.
  • B. Gyulafehérvár
    Gyulafehérvár, known today as Alba Iulia in Romania, is a historic city that served as the political and cultural center of Transylvania for centuries.
  • C. Kalocsa
    Kalocsa is a historic town in southern Hungary known as an important Roman Catholic archiepiscopal center and for its traditional paprika production and folk art.
  • D. Sopron
    Sopron is a historic city in western Hungary near the Austrian border, known for its well-preserved medieval old town and wine-making traditions.
  • E. Szentlőrinc
    Szentlőrinc is a small town in southern Hungary known for its agricultural surroundings and role as a local service and transport hub in Baranya County.
  • 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_69ca84d7260c8190bfbec36762943f37 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded32b91c8190b01ad37b2456080a completed April 2, 2026, 4:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69f4578899ac81908b6e3c8948ca6628 completed May 1, 2026, 7:34 a.m.
NEDg Description generation batch_69f4645a7038819089d7533715f8a430 completed May 1, 2026, 8:29 a.m.
NED2 Entity disambiguation (via description) batch_69f4664ff9608190b23e29b3e5c1c326 completed May 1, 2026, 8:37 a.m.
Created at: March 30, 2026, 9:12 p.m.