Triple

T5658462
Position Surface form Disambiguated ID Type / Status
Subject Milton J. Rubenstein Museum of Science and Technology E124676 entity
Predicate shortName P43 FINISHED
Object MOST
MOST is a science and technology museum in Syracuse, New York, featuring interactive exhibits and educational programs focused on STEM learning.
 E537794 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: MOST | Statement: [Milton J. Rubenstein Museum of Science and Technology, shortName, MOST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MOST
Context triple: [Milton J. Rubenstein Museum of Science and Technology, shortName, MOST]
  • A. Most
    Most is an industrial city in the Ústí nad Labem Region of the Czech Republic, historically known for coal mining and extensive postwar urban redevelopment.
  • B. MAX
    MAX is a family of low-cost, high-density CPLD (Complex Programmable Logic Device) products developed by Altera for implementing customizable digital logic functions.
  • C. MAX
    MAX is a Marvel Comics imprint created for mature readers, featuring darker, more explicit stories often starring grittier versions of established characters.
  • D. MAX
    MAX is the Portland metropolitan area’s light rail transit system, operated by TriMet and serving multiple lines across the region.
  • E. ME
    ME is the official two-letter United States Postal Service abbreviation for the state of Maine.
  • 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: MOST
Triple: [Milton J. Rubenstein Museum of Science and Technology, shortName, MOST]
Generated description
MOST is a science and technology museum in Syracuse, New York, featuring interactive exhibits and educational programs focused on STEM learning.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MOST
Target entity description: MOST is a science and technology museum in Syracuse, New York, featuring interactive exhibits and educational programs focused on STEM learning.
  • A. Most
    Most is an industrial city in the Ústí nad Labem Region of the Czech Republic, historically known for coal mining and extensive postwar urban redevelopment.
  • B. MAX
    MAX is a family of low-cost, high-density CPLD (Complex Programmable Logic Device) products developed by Altera for implementing customizable digital logic functions.
  • C. MAX
    MAX is the Portland metropolitan area’s light rail transit system, operated by TriMet and serving multiple lines across the region.
  • D. MAX
    MAX is a Marvel Comics imprint created for mature readers, featuring darker, more explicit stories often starring grittier versions of established characters.
  • E. ME
    ME is the official two-letter United States Postal Service abbreviation for the state of Maine.
  • 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_69c0082774a481909d7e63fb2aad56ac completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022fd9b148190bd4aa9c43500949f completed March 22, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04da37ffc819095f33e7e66e7c1d0 completed March 22, 2026, 8:14 p.m.
NEDg Description generation batch_69c04edf30448190a60eda49b8b031a0 completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04fb62690819083327781cb857ccc completed March 22, 2026, 8:23 p.m.
Created at: March 22, 2026, 3:42 p.m.