Triple

T6958938
Position Surface form Disambiguated ID Type / Status
Subject Sector 2 E161317 entity
Predicate contains P35 FINISHED
Object Moșilor
Moșilor is a historic and centrally located neighborhood in Bucharest, Romania, known for its traditional streets, old houses, and proximity to major urban arteries.
 E631428 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: Moșilor | Statement: [Sector 2, contains, Moșilor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moșilor
Context triple: [Sector 2, contains, Moșilor]
  • A. La Tzoumaz
    La Tzoumaz is a Swiss alpine village and ski resort in the 4 Vallées region, known for its family-friendly slopes and access to extensive interconnected ski terrain.
  • B. Muolaa
    Muolaa was a former Finnish municipality on the Karelian Isthmus, historically significant for its rural communities and its transfer to Soviet control after World War II.
  • C. Mnyovniki
    Mnyovniki is a metro station on Moscow’s Big Circle Line serving the Mnyovniki district in the western part of the city.
  • D. Mihăiță
    Mihăiță is a Romanian masculine given name used as a diminutive, affectionate form of the name Mihai.
  • E. Morvi
    Morvi is a town in the Morbi district of Gujarat, India, historically known as the seat of the former princely Morvi State.
  • 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: Moșilor
Triple: [Sector 2, contains, Moșilor]
Generated description
Moșilor is a historic and centrally located neighborhood in Bucharest, Romania, known for its traditional streets, old houses, and proximity to major urban arteries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moșilor
Target entity description: Moșilor is a historic and centrally located neighborhood in Bucharest, Romania, known for its traditional streets, old houses, and proximity to major urban arteries.
  • A. La Tzoumaz
    La Tzoumaz is a Swiss alpine village and ski resort in the 4 Vallées region, known for its family-friendly slopes and access to extensive interconnected ski terrain.
  • B. Muolaa
    Muolaa was a former Finnish municipality on the Karelian Isthmus, historically significant for its rural communities and its transfer to Soviet control after World War II.
  • C. Mnyovniki
    Mnyovniki is a metro station on Moscow’s Big Circle Line serving the Mnyovniki district in the western part of the city.
  • D. Mihăiță
    Mihăiță is a Romanian masculine given name used as a diminutive, affectionate form of the name Mihai.
  • E. Morvi
    Morvi is a town in the Morbi district of Gujarat, India, historically known as the seat of the former princely Morvi State.
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6daedbb4c8190b46846fb1265b937 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75893a4808190b94a70d8823a01d3 completed March 28, 2026, 4:26 a.m.
NEDg Description generation batch_69c759d65a008190a6121949651dcd5c completed March 28, 2026, 4:32 a.m.
NED2 Entity disambiguation (via description) batch_69c75a7a0af88190abf9d1dc4efd8b29 completed March 28, 2026, 4:35 a.m.
Created at: March 27, 2026, 2:29 p.m.