Triple

T17014020
Position Surface form Disambiguated ID Type / Status
Subject Őrség E412770 entity
Predicate containsSettlement P847 FINISHED
Object Szentgyörgyvölgy
Szentgyörgyvölgy is a small rural village in western Hungary, situated in the traditional Őrség region near the Slovenian border.
E1247043 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: Szentgyörgyvölgy | Statement: [Őrség, containsSettlement, Szentgyörgyvölgy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Szentgyörgyvölgy
Context triple: [Őrség, containsSettlement, Szentgyörgyvölgy]
  • A. Rózsahegy
    Rózsahegy is a historically significant town that served as one of the principal urban centers of the former Liptó County in the Kingdom of Hungary.
  • B. Kunhegyes
    Kunhegyes is a small town in Jász-Nagykun-Szolnok County in central Hungary, known for its rural character and agricultural surroundings.
  • C. Nagyerdő
    Nagyerdő is a large, historic forested park and recreational area in Debrecen, Hungary, known for its natural beauty and cultural attractions.
  • D. Kelenvölgy
    Kelenvölgy is a primarily residential neighborhood in Budapest’s 11th District, known for its suburban character and green, quiet surroundings.
  • E. Gödöllő Hills
    Gödöllő Hills is a hilly geographical region in central Hungary known for its rolling landscapes, forests, and proximity to Budapest.
  • 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: Szentgyörgyvölgy
Triple: [Őrség, containsSettlement, Szentgyörgyvölgy]
Generated description
Szentgyörgyvölgy is a small rural village in western Hungary, situated in the traditional Őrség region near the Slovenian border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Szentgyörgyvölgy
Target entity description: Szentgyörgyvölgy is a small rural village in western Hungary, situated in the traditional Őrség region near the Slovenian border.
  • A. Rózsahegy
    Rózsahegy is a historically significant town that served as one of the principal urban centers of the former Liptó County in the Kingdom of Hungary.
  • B. Kunhegyes
    Kunhegyes is a small town in Jász-Nagykun-Szolnok County in central Hungary, known for its rural character and agricultural surroundings.
  • C. Nagyerdő
    Nagyerdő is a large, historic forested park and recreational area in Debrecen, Hungary, known for its natural beauty and cultural attractions.
  • D. Kelenvölgy
    Kelenvölgy is a primarily residential neighborhood in Budapest’s 11th District, known for its suburban character and green, quiet surroundings.
  • E. Gödöllő Hills
    Gödöllő Hills is a hilly geographical region in central Hungary known for its rolling landscapes, forests, and proximity to Budapest.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d47e64f081908f43870c7564d0ae completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b4990948190861ff81f8fc3e8f2 completed May 10, 2026, 11:56 p.m.
NEDg Description generation batch_6a011cc1afc48190b83e3203407c1d7f completed May 11, 2026, 12:03 a.m.
NED2 Entity disambiguation (via description) batch_6a011d67c82c8190b737406e8952eb2b completed May 11, 2026, 12:05 a.m.
Created at: April 10, 2026, 5:33 a.m.