Triple

T20355235
Position Surface form Disambiguated ID Type / Status
Subject Drava Statistical Region E496626 entity
Predicate containsSettlement P847 FINISHED
Object Hajdina
Hajdina is a settlement in northeastern Slovenia known for its location near the Drava River and its inclusion in the Drava Statistical Region.
 E1426636 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: Hajdina | Statement: [Drava Statistical Region, containsSettlement, Hajdina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hajdina
Context triple: [Drava Statistical Region, containsSettlement, Hajdina]
  • A. Hajna
    Hajna is a feminine given name, notably borne by American actress and producer Hajna O. Moss.
  • B. Dajla
    Dajla is an alternative name for Dakhla, a coastal city in Western Sahara known for its fishing industry and popular kitesurfing spots.
  • C. Hajdúnánás
    Hajdúnánás is a town in eastern Hungary known for its agricultural surroundings, thermal baths, and location within the Northern Great Plain region.
  • D. Dunja
    Dunja is a feminine given name commonly used in South Slavic countries, often associated with the Bosnian human rights advocate Dunja Mijatović.
  • E. Vajna
    Vajna is the surname of Andrew G. Vajna, a prominent Hungarian-American film producer known for co-founding Carolco Pictures and producing major action films such as the Rambo series.
  • 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: Hajdina
Triple: [Drava Statistical Region, containsSettlement, Hajdina]
Generated description
Hajdina is a settlement in northeastern Slovenia known for its location near the Drava River and its inclusion in the Drava Statistical Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hajdina
Target entity description: Hajdina is a settlement in northeastern Slovenia known for its location near the Drava River and its inclusion in the Drava Statistical Region.
  • A. Hajna
    Hajna is a feminine given name, notably borne by American actress and producer Hajna O. Moss.
  • B. Dajla
    Dajla is an alternative name for Dakhla, a coastal city in Western Sahara known for its fishing industry and popular kitesurfing spots.
  • C. Hajdúnánás
    Hajdúnánás is a town in eastern Hungary known for its agricultural surroundings, thermal baths, and location within the Northern Great Plain region.
  • D. Dunja
    Dunja is a feminine given name commonly used in South Slavic countries, often associated with the Bosnian human rights advocate Dunja Mijatović.
  • E. Vajna
    Vajna is the surname of Andrew G. Vajna, a prominent Hungarian-American film producer known for co-founding Carolco Pictures and producing major action films such as the Rambo series.
  • 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_69e0b4a3f7f48190b37f354574028ca6 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67853f10881908ecde94036804a8a completed April 20, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08707f76608190b9d771cf52b9e90b completed May 16, 2026, 1:26 p.m.
NEDg Description generation batch_6a087157b1a08190af04a27f3a0d9de5 completed May 16, 2026, 1:30 p.m.
NED2 Entity disambiguation (via description) batch_6a0871f3a0908190b1f50413ca287367 completed May 16, 2026, 1:32 p.m.
Created at: April 16, 2026, 11:25 a.m.