Triple

T17014017
Position Surface form Disambiguated ID Type / Status
Subject Őrség E412770 entity
Predicate containsSettlement P847 FINISHED
Object Magyarszombatfa
Magyarszombatfa is a small village in western Hungary known for its traditional pottery and rural cultural heritage within the Őrség region.
 E1247040 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: Magyarszombatfa | Statement: [Őrség, containsSettlement, Magyarszombatfa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Magyarszombatfa
Context triple: [Őrség, containsSettlement, Magyarszombatfa]
  • A. Arbore
    Arbore is a Cushitic language spoken by the Arbore people of southern Ethiopia.
  • B. Kestenholz
    Kestenholz is a municipality in the canton of Solothurn in Switzerland, located in the Gäu district.
  • C. Emigholz
    Emigholz is a German surname most notably associated with filmmaker and artist Heinz Emigholz.
  • D. Hornschuch
    Hornschuch is a German surname most notably associated with Karl Georg Hornschuch, a 19th-century botanist and bryologist.
  • E. Hárslevelű
    Hárslevelű is a Hungarian white grape variety best known for producing aromatic, honeyed wines in the Tokaj region, often alongside Furmint in both dry and sweet styles.
  • 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: Magyarszombatfa
Triple: [Őrség, containsSettlement, Magyarszombatfa]
Generated description
Magyarszombatfa is a small village in western Hungary known for its traditional pottery and rural cultural heritage within the Őrség region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Magyarszombatfa
Target entity description: Magyarszombatfa is a small village in western Hungary known for its traditional pottery and rural cultural heritage within the Őrség region.
  • A. Arbore
    Arbore is a Cushitic language spoken by the Arbore people of southern Ethiopia.
  • B. Kestenholz
    Kestenholz is a municipality in the canton of Solothurn in Switzerland, located in the Gäu district.
  • C. Emigholz
    Emigholz is a German surname most notably associated with filmmaker and artist Heinz Emigholz.
  • D. Hornschuch
    Hornschuch is a German surname most notably associated with Karl Georg Hornschuch, a 19th-century botanist and bryologist.
  • E. Hárslevelű
    Hárslevelű is a Hungarian white grape variety best known for producing aromatic, honeyed wines in the Tokaj region, often alongside Furmint in both dry and sweet styles.
  • 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.