Triple

T771586
Position Surface form Disambiguated ID Type / Status
Subject Megleno-Romanian E16291 entity
Predicate hasEndonym P1435 FINISHED
Object vlaheşte
vlaheşte is the native name for the Megleno-Romanian language, a Romance language spoken by the Megleno-Romanian community in the Balkans.
 E91012 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: vlaheşte | Statement: [Megleno-Romanian, hasEndonym, vlaheşte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: vlaheşte
Context triple: [Megleno-Romanian, hasEndonym, vlaheşte]
  • A. VELO
    VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
  • B. VLKSM
    VLKSM was the Russian abbreviation for the All-Union Leninist Young Communist League, the Soviet Union’s official youth organization affiliated with the Communist Party.
  • C. valkyries
    Valkyries are supernatural warrior maidens in Norse mythology who choose those who die in battle and escort the slain heroes to the afterlife in Valhalla.
  • D. nde
    nde is the ISO 639-2 code for Northern Ndebele, a Bantu language spoken primarily in Zimbabwe.
  • E. VRA
    VRA is the common abbreviation for the landmark U.S. federal law enacted in 1965 to prohibit racial discrimination in voting.
  • 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: vlaheşte
Triple: [Megleno-Romanian, hasEndonym, vlaheşte]
Generated description
vlaheşte is the native name for the Megleno-Romanian language, a Romance language spoken by the Megleno-Romanian community in the Balkans.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: vlaheşte
Target entity description: vlaheşte is the native name for the Megleno-Romanian language, a Romance language spoken by the Megleno-Romanian community in the Balkans.
  • A. VELO
    VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
  • B. VLKSM
    VLKSM was the Russian abbreviation for the All-Union Leninist Young Communist League, the Soviet Union’s official youth organization affiliated with the Communist Party.
  • C. valkyries
    Valkyries are supernatural warrior maidens in Norse mythology who choose those who die in battle and escort the slain heroes to the afterlife in Valhalla.
  • D. nde
    nde is the ISO 639-2 code for Northern Ndebele, a Bantu language spoken primarily in Zimbabwe.
  • E. VRA
    VRA is the common abbreviation for the landmark U.S. federal law enacted in 1965 to prohibit racial discrimination in voting.
  • 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_69a49369a0848190af883934cee3db4c completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a706abf88190a1cbc2dfbbf9968a completed March 1, 2026, 8:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6667aabe08190b56f129864082c84 completed March 3, 2026, 4:41 a.m.
NEDg Description generation batch_69a66783f6cc819089570965e48b5749 completed March 3, 2026, 4:45 a.m.
NED2 Entity disambiguation (via description) batch_69a667e58f988190be20a9aa3c8359fd completed March 3, 2026, 4:47 a.m.
Created at: March 1, 2026, 7:37 p.m.