Triple

T14148236
Position Surface form Disambiguated ID Type / Status
Subject Zala György E350607 entity
Predicate placeOfBirth P1 FINISHED
Object Alsólendva
Alsólendva is a historic town in the Prekmurje region (today known as Lendava in Slovenia) that was formerly part of the Kingdom of Hungary.
E1081693 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: Alsólendva | Statement: [Zala György, placeOfBirth, Alsólendva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alsólendva
Context triple: [Zala György, placeOfBirth, Alsólendva]
  • A. Sulden
    Sulden is a small alpine village and ski resort in South Tyrol, northern Italy, known for its dramatic high-mountain scenery in the Ortler Alps.
  • B. Svaliava
    Svaliava is a small town in western Ukraine known for its scenic Carpathian surroundings and mineral springs.
  • C. Vörnle
    Vörnle is a German-language surname associated with individuals such as Käthe Vörnle.
  • D. Šolta
    Šolta is a small Croatian island in the Adriatic Sea, known for its tranquil villages, olive groves, and clear bays, located just off the coast from the city of Split.
  • E. Lesja
    Lesja is a rural municipality in Innlandet county, Norway, known for its mountainous landscapes, agriculture, and outdoor recreation opportunities.
  • 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: Alsólendva
Triple: [Zala György, placeOfBirth, Alsólendva]
Generated description
Alsólendva is a historic town in the Prekmurje region (today known as Lendava in Slovenia) that was formerly part of the Kingdom of Hungary.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alsólendva
Target entity description: Alsólendva is a historic town in the Prekmurje region (today known as Lendava in Slovenia) that was formerly part of the Kingdom of Hungary.
  • A. Sulden
    Sulden is a small alpine village and ski resort in South Tyrol, northern Italy, known for its dramatic high-mountain scenery in the Ortler Alps.
  • B. Svaliava
    Svaliava is a small town in western Ukraine known for its scenic Carpathian surroundings and mineral springs.
  • C. Vörnle
    Vörnle is a German-language surname associated with individuals such as Käthe Vörnle.
  • D. Šolta
    Šolta is a small Croatian island in the Adriatic Sea, known for its tranquil villages, olive groves, and clear bays, located just off the coast from the city of Split.
  • E. Lesja
    Lesja is a rural municipality in Innlandet county, Norway, known for its mountainous landscapes, agriculture, and outdoor recreation opportunities.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61237ef481909374c1f68a2370b7 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf205c788190920b5055f9fe63a8 completed May 7, 2026, 6:51 p.m.
NEDg Description generation batch_69fce266b2a08190998f04913064e43f completed May 7, 2026, 7:05 p.m.
NED2 Entity disambiguation (via description) batch_69fce2cd8cb481908e3e5a421e732948 completed May 7, 2026, 7:06 p.m.
Created at: April 10, 2026, 12:55 a.m.