Triple

T1994531
Position Surface form Disambiguated ID Type / Status
Subject Great Lakes Science Center E43327 entity
Predicate abbreviation P43 FINISHED
Object GLSC
GLSC is a science museum and educational facility in Cleveland, Ohio, focused on Great Lakes science, technology, and space exploration.
 E223673 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: GLSC | Statement: [Great Lakes Science Center, abbreviation, GLSC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GLSC
Context triple: [Great Lakes Science Center, abbreviation, GLSC]
  • A. GLE
    The Mercedes-Benz GLE is a mid-size luxury SUV known for its premium comfort, advanced technology, and strong performance within the brand’s lineup.
  • B. GCLA
    GCLA is the ICAO airport code for La Palma Airport in Spain’s Canary Islands.
  • C. CLSC
    CLSCs (Centres locaux de services communautaires) are community health and social service centers in Quebec that provide front-line medical, psychosocial, and preventive care to local populations.
  • D. EGSC
    EGSC is the ICAO airport code for Cambridge City Airport in Cambridge, England.
  • E. GCLP
    GCLP is the ICAO airport code for Gran Canaria Airport, a major international airport serving the island of Gran Canaria in Spain’s Canary Islands.
  • 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: GLSC
Triple: [Great Lakes Science Center, abbreviation, GLSC]
Generated description
GLSC is a science museum and educational facility in Cleveland, Ohio, focused on Great Lakes science, technology, and space exploration.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GLSC
Target entity description: GLSC is a science museum and educational facility in Cleveland, Ohio, focused on Great Lakes science, technology, and space exploration.
  • A. GLE
    The Mercedes-Benz GLE is a mid-size luxury SUV known for its premium comfort, advanced technology, and strong performance within the brand’s lineup.
  • B. GCLA
    GCLA is the ICAO airport code for La Palma Airport in Spain’s Canary Islands.
  • C. CLSC
    CLSCs (Centres locaux de services communautaires) are community health and social service centers in Quebec that provide front-line medical, psychosocial, and preventive care to local populations.
  • D. EGSC
    EGSC is the ICAO airport code for Cambridge City Airport in Cambridge, England.
  • E. GCLP
    GCLP is the ICAO airport code for Gran Canaria Airport, a major international airport serving the island of Gran Canaria in Spain’s Canary Islands.
  • 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_69a88714cf2c819081644be450b8356e completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8640f30819080322bddb85881f1 completed March 7, 2026, 5:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae033c6cf88190acf6418f0d784914 completed March 8, 2026, 11:16 p.m.
NEDg Description generation batch_69ae03c4faac8190a13aa0882eda3629 completed March 8, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69ae0445a9608190918a7bd45b9bf999 completed March 8, 2026, 11:20 p.m.
Created at: March 4, 2026, 7:37 p.m.