Triple

T9685752
Position Surface form Disambiguated ID Type / Status
Subject Zagyva E234402 entity
Predicate flowsThrough P225 FINISHED
Object Hatvan
Hatvan is a town in northern Hungary known as a regional industrial and transport hub along the Zagyva River.
 E815338 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: Hatvan | Statement: [Zagyva, flowsThrough, Hatvan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hatvan
Context triple: [Zagyva, flowsThrough, Hatvan]
  • A. Hadár
    Hadár is the guiding motto of the Betar youth movement, emphasizing Jewish pride, dignity, and disciplined self-respect.
  • B. Harkányi
    Harkányi is a Hungarian surname associated with individuals such as Mici Mária Harkányi.
  • C. Sarolt
    Sarolt was a prominent 10th-century Hungarian noblewoman and duchess, influential in the Christianization and early state formation of Hungary as the wife of Grand Prince Géza and mother of King Stephen I.
  • D. Vilmos
    Vilmos is a masculine given name of Hungarian origin, equivalent to William in English.
  • E. Huny
    Huny is an alternative transliteration of Huni, an ancient Egyptian pharaoh of the Third Dynasty.
  • 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: Hatvan
Triple: [Zagyva, flowsThrough, Hatvan]
Generated description
Hatvan is a town in northern Hungary known as a regional industrial and transport hub along the Zagyva River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hatvan
Target entity description: Hatvan is a town in northern Hungary known as a regional industrial and transport hub along the Zagyva River.
  • A. Hadár
    Hadár is the guiding motto of the Betar youth movement, emphasizing Jewish pride, dignity, and disciplined self-respect.
  • B. Harkányi
    Harkányi is a Hungarian surname associated with individuals such as Mici Mária Harkányi.
  • C. Sarolt
    Sarolt was a prominent 10th-century Hungarian noblewoman and duchess, influential in the Christianization and early state formation of Hungary as the wife of Grand Prince Géza and mother of King Stephen I.
  • D. Vilmos
    Vilmos is a masculine given name of Hungarian origin, equivalent to William in English.
  • E. Huny
    Huny is an alternative transliteration of Huni, an ancient Egyptian pharaoh of the Third Dynasty.
  • 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_69ca84ca73208190957a900c8543bdcc completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9cd2dab481908e0d3fed28de9d40 completed April 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1910b7c148190b9061b1ce0520e8b completed April 4, 2026, 10:30 p.m.
NEDg Description generation batch_69d193150c00819080ed0fbb050b60bf completed April 4, 2026, 10:39 p.m.
NED2 Entity disambiguation (via description) batch_69d19416efd48190865d0178e5e893fa completed April 4, 2026, 10:43 p.m.
Created at: March 30, 2026, 8:16 p.m.