Triple

T4526077
Position Surface form Disambiguated ID Type / Status
Subject Ruza Reservoir E106181 entity
Predicate nearSettlement P3883 FINISHED
Object Ruza
Ruza is a town in Moscow Oblast, Russia, known as a local administrative center and recreational area west of Moscow.
 E450009 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: Ruza | Statement: [Ruza Reservoir, nearSettlement, Ruza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ruza
Context triple: [Ruza Reservoir, nearSettlement, Ruza]
  • A. Mithi
    Mithi is a town in Pakistan’s Sindh province known for its predominantly Hindu population and its location in the Thar Desert region.
  • B. Nera
    Nera is a river in central Italy that flows through the regions of Umbria and Lazio before joining the Tiber.
  • C. Ranna
    Ranna was a prominent 10th-century Kannada poet, celebrated as one of the “three gems” of early Kannada literature for his influential epic and courtly works.
  • D. Thaya
    Thaya is a river in Central Europe that flows through Austria and the Czech Republic, forming part of the border between the two countries.
  • E. Rana
    Rana is a large and widespread genus of true frogs that includes many familiar pond and stream-dwelling species found across much of the world.
  • 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: Ruza
Triple: [Ruza Reservoir, nearSettlement, Ruza]
Generated description
Ruza is a town in Moscow Oblast, Russia, known as a local administrative center and recreational area west of Moscow.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ruza
Target entity description: Ruza is a town in Moscow Oblast, Russia, known as a local administrative center and recreational area west of Moscow.
  • A. Mithi
    Mithi is a town in Pakistan’s Sindh province known for its predominantly Hindu population and its location in the Thar Desert region.
  • B. Nera
    Nera is a river in central Italy that flows through the regions of Umbria and Lazio before joining the Tiber.
  • C. Ranna
    Ranna was a prominent 10th-century Kannada poet, celebrated as one of the “three gems” of early Kannada literature for his influential epic and courtly works.
  • D. Thaya
    Thaya is a river in Central Europe that flows through Austria and the Czech Republic, forming part of the border between the two countries.
  • E. Rana
    Rana is a large and widespread genus of true frogs that includes many familiar pond and stream-dwelling species found across much of the world.
  • 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_69bd43f3d6e08190a91824f833d51bbe completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57760f4481908f69ce82be63d7f8 completed March 20, 2026, 2:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69bda44fcec48190a1430b4e74ec30fb completed March 20, 2026, 7:47 p.m.
NEDg Description generation batch_69bda5b564648190ab2badb264910185 completed March 20, 2026, 7:53 p.m.
NED2 Entity disambiguation (via description) batch_69bda658568c8190bf97e4328e3799be completed March 20, 2026, 7:56 p.m.
Created at: March 20, 2026, 1:03 p.m.