Triple

T7392846
Position Surface form Disambiguated ID Type / Status
Subject Lviv region E170543 entity
Predicate containsCity P294 FINISHED
Object Sambir
Sambir is a small historic city in western Ukraine known for its medieval roots and location within the Lviv Oblast.
 E661982 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: Sambir | Statement: [Lviv region, containsCity, Sambir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sambir
Context triple: [Lviv region, containsCity, Sambir]
  • A. Sibari
    Sibari is a town in southern Italy’s Calabria region, located near the archaeological remains of the ancient Greek city of Sybaris.
  • B. Sambon
    Sambon was a zoologist and parasitologist known for his taxonomic work on parasitic organisms, including naming the human blood fluke Schistosoma mansoni.
  • C. Simberi
    Simberi is an Oceanic language spoken on Simberi Island in the Tabar Island group of Papua New Guinea.
  • D. Nabaloi
    Nabaloi is an Austronesian language spoken by the Ibaloi people of the northern Philippines, particularly in the Benguet region of Luzon.
  • E. Shimsha
    Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
  • 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: Sambir
Triple: [Lviv region, containsCity, Sambir]
Generated description
Sambir is a small historic city in western Ukraine known for its medieval roots and location within the Lviv Oblast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sambir
Target entity description: Sambir is a small historic city in western Ukraine known for its medieval roots and location within the Lviv Oblast.
  • A. Sibari
    Sibari is a town in southern Italy’s Calabria region, located near the archaeological remains of the ancient Greek city of Sybaris.
  • B. Sambon
    Sambon was a zoologist and parasitologist known for his taxonomic work on parasitic organisms, including naming the human blood fluke Schistosoma mansoni.
  • C. Simberi
    Simberi is an Oceanic language spoken on Simberi Island in the Tabar Island group of Papua New Guinea.
  • D. Nabaloi
    Nabaloi is an Austronesian language spoken by the Ibaloi people of the northern Philippines, particularly in the Benguet region of Luzon.
  • E. Shimsha
    Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
  • 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_69c68a5e2c9081909e713ce866e0060a completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f224790c819099ceb7c7ac8d00f6 completed March 27, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810f82ba08190919924b0994a2eee completed March 28, 2026, 5:33 p.m.
NEDg Description generation batch_69c811f1fe3c8190a591186b19044b5f completed March 28, 2026, 5:37 p.m.
NED2 Entity disambiguation (via description) batch_69c812c1e9d08190b0e7f052d87011b9 completed March 28, 2026, 5:41 p.m.
Created at: March 27, 2026, 3:09 p.m.