Triple

T11973606
Position Surface form Disambiguated ID Type / Status
Subject Levice E284980 entity
Predicate historicalRegion P915 FINISHED
Object Tekov
Tekov is a historical region in southern Slovakia, traditionally centered around the town of Levice and known for its medieval settlements and agricultural landscape.
E957252 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: Tekov | Statement: [Levice, historicalRegion, Tekov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tekov
Context triple: [Levice, historicalRegion, Tekov]
  • A. Tsarevo
    Tsarevo is a coastal town and popular seaside resort on the Black Sea in southeastern Bulgaria.
  • B. Kamenitsa
    Kamenitsa is a prominent mountain peak in Bulgaria’s Pirin range, known for its rugged alpine terrain and scenic hiking routes.
  • C. Dojrani
    Dojrani is a settlement situated near Lake Dojran, known for its proximity to this transboundary lake between North Macedonia and Greece.
  • D. Karmanovo
    Karmanovo is a rural village located within the Gagarinsky District of Smolensk Oblast in western Russia.
  • E. Gevaş
    Gevaş is a town and district in eastern Turkey, situated on the southern shore of Lake Van in Van Province.
  • 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: Tekov
Triple: [Levice, historicalRegion, Tekov]
Generated description
Tekov is a historical region in southern Slovakia, traditionally centered around the town of Levice and known for its medieval settlements and agricultural landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tekov
Target entity description: Tekov is a historical region in southern Slovakia, traditionally centered around the town of Levice and known for its medieval settlements and agricultural landscape.
  • A. Tsarevo
    Tsarevo is a coastal town and popular seaside resort on the Black Sea in southeastern Bulgaria.
  • B. Kamenitsa
    Kamenitsa is a prominent mountain peak in Bulgaria’s Pirin range, known for its rugged alpine terrain and scenic hiking routes.
  • C. Dojrani
    Dojrani is a settlement situated near Lake Dojran, known for its proximity to this transboundary lake between North Macedonia and Greece.
  • D. Karmanovo
    Karmanovo is a rural village located within the Gagarinsky District of Smolensk Oblast in western Russia.
  • E. Gevaş
    Gevaş is a town and district in eastern Turkey, situated on the southern shore of Lake Van in Van Province.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9039107e48190ae4c4efd6257dd3c completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4598d62a8819087f83912d1e45b27 completed May 1, 2026, 7:43 a.m.
NEDg Description generation batch_69f45f8b1bc0819099574002cc131000 completed May 1, 2026, 8:08 a.m.
NED2 Entity disambiguation (via description) batch_69f464ad85ac8190ae49f19cedb7d88a completed May 1, 2026, 8:30 a.m.
Created at: April 8, 2026, 9:46 p.m.