Triple

T11703606
Position Surface form Disambiguated ID Type / Status
Subject Šahy E278183 entity
Predicate historicalRegion P915 FINISHED
Object Hont
Hont is a historical region in Central Europe, traditionally located on the territory of present-day southern Slovakia and northern Hungary.
 E941827 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: Hont | Statement: [Šahy, historicalRegion, Hont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hont
Context triple: [Šahy, historicalRegion, Hont]
  • A. Hozat
    Hozat is a small town and district in eastern Turkey known for its mountainous terrain and predominantly Alevi Kurdish population.
  • B. Hutaosa
    Hutaosa is an alternative or variant form of the ancient Persian female name Atossa, borne by a prominent Achaemenid queen.
  • C. Huny
    Huny is an alternative transliteration of Huni, an ancient Egyptian pharaoh of the Third Dynasty.
  • D. Hetauda
    Hetauda is a major industrial and administrative city in central Nepal that serves as the capital of Bagmati Province.
  • E. Hakitia
    Hakitia is a Judeo-Spanish dialect historically spoken by North African Sephardic Jews, blending Old Spanish with Hebrew and elements of Arabic.
  • 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: Hont
Triple: [Šahy, historicalRegion, Hont]
Generated description
Hont is a historical region in Central Europe, traditionally located on the territory of present-day southern Slovakia and northern Hungary.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hont
Target entity description: Hont is a historical region in Central Europe, traditionally located on the territory of present-day southern Slovakia and northern Hungary.
  • A. Hozat
    Hozat is a small town and district in eastern Turkey known for its mountainous terrain and predominantly Alevi Kurdish population.
  • B. Hutaosa
    Hutaosa is an alternative or variant form of the ancient Persian female name Atossa, borne by a prominent Achaemenid queen.
  • C. Huny
    Huny is an alternative transliteration of Huni, an ancient Egyptian pharaoh of the Third Dynasty.
  • D. Hetauda
    Hetauda is a major industrial and administrative city in central Nepal that serves as the capital of Bagmati Province.
  • E. Hakitia
    Hakitia is a Judeo-Spanish dialect historically spoken by North African Sephardic Jews, blending Old Spanish with Hebrew and elements of Arabic.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a49b1080819096593733ee48a187 completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef83525ae081909ee6f3fbb5d37dd7 completed April 27, 2026, 3:40 p.m.
NEDg Description generation batch_69ef9b673120819097b542bb9a8f8bdb completed April 27, 2026, 5:22 p.m.
NED2 Entity disambiguation (via description) batch_69efd683366881909dd9621e7c57d0be completed April 27, 2026, 9:34 p.m.
Created at: April 8, 2026, 9:40 p.m.