Triple

T4418427
Position Surface form Disambiguated ID Type / Status
Subject Orava E95035 entity
Predicate borders P224 FINISHED
Object Turiec
Turiec is a historical and geographical region in north-central Slovakia, known for its basin landscape surrounded by mountains and the town of Martin as its cultural center.
 E437092 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: Turiec | Statement: [Orava, borders, Turiec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Turiec
Context triple: [Orava, borders, Turiec]
  • A. Turośl
    Turośl is a village in northern Poland located within the Warmian-Masurian Voivodeship, a region known for its lakes and forests.
  • B. Trebsen
    Trebsen is a small town in the Free State of Saxony in eastern Germany, known for its historic castle and location along the Mulde River.
  • C. Domažlice
    Domažlice is a historic town in the western Czech Republic known for its well-preserved medieval center and rich Chodové folk traditions.
  • D. Kriváň
    Kriváň is a prominent and symbolically important peak in Slovakia’s High Tatras, often regarded as a national symbol and popular hiking destination.
  • E. Ruzyně
    Ruzyně is a district in the western part of Prague, Czech Republic, best known as the location of the city’s main international airport.
  • 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: Turiec
Triple: [Orava, borders, Turiec]
Generated description
Turiec is a historical and geographical region in north-central Slovakia, known for its basin landscape surrounded by mountains and the town of Martin as its cultural center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Turiec
Target entity description: Turiec is a historical and geographical region in north-central Slovakia, known for its basin landscape surrounded by mountains and the town of Martin as its cultural center.
  • A. Turośl
    Turośl is a village in northern Poland located within the Warmian-Masurian Voivodeship, a region known for its lakes and forests.
  • B. Trebsen
    Trebsen is a small town in the Free State of Saxony in eastern Germany, known for its historic castle and location along the Mulde River.
  • C. Domažlice
    Domažlice is a historic town in the western Czech Republic known for its well-preserved medieval center and rich Chodové folk traditions.
  • D. Kriváň
    Kriváň is a prominent and symbolically important peak in Slovakia’s High Tatras, often regarded as a national symbol and popular hiking destination.
  • E. Ruzyně
    Ruzyně is a district in the western part of Prague, Czech Republic, best known as the location of the city’s main international airport.
  • 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_69b3453a36908190b95a79a297ca083c completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3551e7c6c819090fa5dfb5ac58e4c completed March 13, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f61fa6d88190b98810b542835817 completed March 14, 2026, 11:58 p.m.
NEDg Description generation batch_69b5f68a994c8190a5b524a4db16b097 completed March 15, 2026, midnight
NED2 Entity disambiguation (via description) batch_69b5f6ece3b08190b880743e9fe4dbad completed March 15, 2026, 12:01 a.m.
Created at: March 12, 2026, 11:29 p.m.