Triple

T192480
Position Surface form Disambiguated ID Type / Status
Subject LHCb E3749 entity
Predicate hasSubsystem P4718 FINISHED
Object 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.
 E24264 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: VELO | Statement: [LHCb, hasSubsystem, VELO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VELO
Context triple: [LHCb, hasSubsystem, VELO]
  • A. NV
    NV is the official two-letter United States Postal Service abbreviation for the state of Nevada.
  • B. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • C. Valor
    Valor is a concept or quality associated with courage and bravery in the context of warfare and heroic action.
  • D. Coll
    Coll is a small, sparsely populated island in the Inner Hebrides of Scotland, known for its sandy beaches, dark skies, and rich wildlife.
  • E. Varhadi
    Varhadi is a regional dialect of Marathi spoken primarily in the Vidarbha region of Maharashtra, India, known for its distinct phonetic and lexical features.
  • 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: VELO
Triple: [LHCb, hasSubsystem, VELO]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VELO
Target entity description: 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.
  • A. NV
    NV is the official two-letter United States Postal Service abbreviation for the state of Nevada.
  • B. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • C. Valor
    Valor is a concept or quality associated with courage and bravery in the context of warfare and heroic action.
  • D. Coll
    Coll is a small, sparsely populated island in the Inner Hebrides of Scotland, known for its sandy beaches, dark skies, and rich wildlife.
  • E. Varhadi
    Varhadi is a regional dialect of Marathi spoken primarily in the Vidarbha region of Maharashtra, India, known for its distinct phonetic and lexical features.
  • 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_69a2548debd48190ae3a06d6e65b53c6 completed Feb. 28, 2026, 2:35 a.m.
NER Named-entity recognition batch_69a25bc96aa081908ef74c9827c9aa48 completed Feb. 28, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69a30cc7d0b88190a6a7b8679af27cc5 completed Feb. 28, 2026, 3:42 p.m.
NEDg Description generation batch_69a30d4e2e2c8190adeca3f64769f43b completed Feb. 28, 2026, 3:44 p.m.
NED2 Entity disambiguation (via description) batch_69a30dbbb958819088794889968f1a0c completed Feb. 28, 2026, 3:46 p.m.
Created at: Feb. 28, 2026, 2:41 a.m.