Triple

T1825064
Position Surface form Disambiguated ID Type / Status
Subject Paveletsky railway station E40633 entity
Predicate namedAfter P63 FINISHED
Object Pavelets
Pavelets is a locality in Russia whose name is notably borne by the Paveletsky railway station in Moscow.
 E204231 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: Pavelets | Statement: [Paveletsky railway station, namedAfter, Pavelets]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pavelets
Context triple: [Paveletsky railway station, namedAfter, Pavelets]
  • A. Monrupino
    Monrupino is a small municipality in northeastern Italy near the Slovenian border, known for its Karst landscape and bilingual Italian-Slovene cultural heritage.
  • B. The Paras
    The Paras are an elite airborne infantry regiment of the British Army renowned for their rigorous training, rapid deployment capabilities, and distinguished combat history.
  • C. Pleistrus
    Pleistrus is a minor figure in Greek mythology known primarily as a son of Helen of Troy.
  • D. Pasugo
    Pasugo is a Philippine-based religious magazine published by the Iglesia Ni Cristo that features doctrinal teachings, church news, and faith-related articles.
  • E. Comporellon
    Comporellon is a frigid, bureaucratic planet in Isaac Asimov’s science fiction universe, notable for its harsh climate and rigid legalism encountered in the novel "Foundation and Earth."
  • 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: Pavelets
Triple: [Paveletsky railway station, namedAfter, Pavelets]
Generated description
Pavelets is a locality in Russia whose name is notably borne by the Paveletsky railway station in Moscow.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pavelets
Target entity description: Pavelets is a locality in Russia whose name is notably borne by the Paveletsky railway station in Moscow.
  • A. Monrupino
    Monrupino is a small municipality in northeastern Italy near the Slovenian border, known for its Karst landscape and bilingual Italian-Slovene cultural heritage.
  • B. The Paras
    The Paras are an elite airborne infantry regiment of the British Army renowned for their rigorous training, rapid deployment capabilities, and distinguished combat history.
  • C. Pleistrus
    Pleistrus is a minor figure in Greek mythology known primarily as a son of Helen of Troy.
  • D. Pasugo
    Pasugo is a Philippine-based religious magazine published by the Iglesia Ni Cristo that features doctrinal teachings, church news, and faith-related articles.
  • E. Comporellon
    Comporellon is a frigid, bureaucratic planet in Isaac Asimov’s science fiction universe, notable for its harsh climate and rigid legalism encountered in the novel "Foundation and Earth."
  • 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_69a8864644bc8190b2358ab897194ac1 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0003d308190a024f8c03c5f5dad completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf6927fc8190ad9ce95c92153c64 completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc0bf37ac8190b9cbbc5454061e75 completed March 8, 2026, 6:32 p.m.
NED2 Entity disambiguation (via description) batch_69adc197f78481909f848e2ee2741e8d completed March 8, 2026, 6:36 p.m.
Created at: March 4, 2026, 7:32 p.m.