Triple

T22719150
Position Surface form Disambiguated ID Type / Status
Subject Large Binocular Telescope E561813 entity
Predicate alsoKnownAs P39 FINISHED
Object LBT
LBT is a powerful ground-based optical-infrared observatory on Mount Graham in Arizona that uses two 8.4-meter mirrors on a single mount to achieve extremely high-resolution astronomical imaging.
 E1550611 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: LBT | Statement: [Large Binocular Telescope, alsoKnownAs, LBT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LBT
Context triple: [Large Binocular Telescope, alsoKnownAs, LBT]
  • A. LBT
    LBT is the public-facing brand name and logo used by Long Beach Transit, the primary public transportation agency serving Long Beach, California, and surrounding areas.
  • B. LBT
    LBT is the National Rail station code for Larbert railway station in Scotland.
  • C. LBTYB
    LBTYB is a class of Liberty Global plc tracking stock representing an economic interest in the company without voting rights.
  • D. LGB
    LGB is the IATA airport code for Long Beach Airport, a public airport serving the Long Beach and greater Los Angeles area in California.
  • E. LGB
    LGB is a model railway brand best known for its large-scale "G" gauge garden trains designed for outdoor and indoor use.
  • 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: LBT
Triple: [Large Binocular Telescope, alsoKnownAs, LBT]
Generated description
LBT is a powerful ground-based optical-infrared observatory on Mount Graham in Arizona that uses two 8.4-meter mirrors on a single mount to achieve extremely high-resolution astronomical imaging.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LBT
Target entity description: LBT is a powerful ground-based optical-infrared observatory on Mount Graham in Arizona that uses two 8.4-meter mirrors on a single mount to achieve extremely high-resolution astronomical imaging.
  • A. LBT
    LBT is the public-facing brand name and logo used by Long Beach Transit, the primary public transportation agency serving Long Beach, California, and surrounding areas.
  • B. LBT
    LBT is the National Rail station code for Larbert railway station in Scotland.
  • C. LBTYB
    LBTYB is a class of Liberty Global plc tracking stock representing an economic interest in the company without voting rights.
  • D. LGB
    LGB is the IATA airport code for Long Beach Airport, a public airport serving the Long Beach and greater Los Angeles area in California.
  • E. LGB
    LGB is a model railway brand best known for its large-scale "G" gauge garden trains designed for outdoor and indoor use.
  • 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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1790fbf9c819082ba7b48801a7b39 completed April 29, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b7edf9c988190ba19b094f3232c87 completed May 18, 2026, 9:04 p.m.
NEDg Description generation batch_6a0b8076dd848190b7ee7c745ddee3c5 completed May 18, 2026, 9:11 p.m.
NED2 Entity disambiguation (via description) batch_6a0b819ebe90819088593ffcd70251b1 completed May 18, 2026, 9:16 p.m.
Created at: April 17, 2026, 3:19 p.m.