Triple

T22698192
Position Surface form Disambiguated ID Type / Status
Subject NGC 1023 Group E561241 entity
Predicate hasAlternativeName P39 FINISHED
Object LGG 70
LGG 70 is a galaxy group designation referring to the NGC 1023 Group, a nearby collection of galaxies in the constellation Perseus.
 E1550821 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: LGG 70 | Statement: [NGC 1023 Group, hasAlternativeName, LGG 70]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LGG 70
Context triple: [NGC 1023 Group, hasAlternativeName, LGG 70]
  • A. LZ 70
    LZ 70 was a German World War I-era Zeppelin airship used primarily for military reconnaissance and bombing missions.
  • B. JG 7
    JG 7 was a late-World War II German Luftwaffe fighter wing, notable as the first operational jet fighter unit equipped with the Messerschmitt Me 262.
  • C. LGS
    LGS is a severe, childhood-onset epileptic encephalopathy characterized by multiple types of seizures, cognitive impairment, and a distinctive EEG pattern.
  • D. LGS
    LGS is the geological survey code used to designate the Lower Greensand Group, a Cretaceous sedimentary rock formation in the United Kingdom.
  • E. LGF.A
    LGF.A is the Class A common stock of Lionsgate, a major entertainment company known for producing and distributing films and television series.
  • 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: LGG 70
Triple: [NGC 1023 Group, hasAlternativeName, LGG 70]
Generated description
LGG 70 is a galaxy group designation referring to the NGC 1023 Group, a nearby collection of galaxies in the constellation Perseus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LGG 70
Target entity description: LGG 70 is a galaxy group designation referring to the NGC 1023 Group, a nearby collection of galaxies in the constellation Perseus.
  • A. LZ 70
    LZ 70 was a German World War I-era Zeppelin airship used primarily for military reconnaissance and bombing missions.
  • B. JG 7
    JG 7 was a late-World War II German Luftwaffe fighter wing, notable as the first operational jet fighter unit equipped with the Messerschmitt Me 262.
  • C. LGS
    LGS is a severe, childhood-onset epileptic encephalopathy characterized by multiple types of seizures, cognitive impairment, and a distinctive EEG pattern.
  • D. LGS
    LGS is the geological survey code used to designate the Lower Greensand Group, a Cretaceous sedimentary rock formation in the United Kingdom.
  • E. LGF.A
    LGF.A is the Class A common stock of Lionsgate, a major entertainment company known for producing and distributing films and television series.
  • 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178a008448190b393335704128fe8 completed April 29, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b7ed02a8c819082ac8e416e67bead completed May 18, 2026, 9:04 p.m.
NEDg Description generation batch_6a0b80ccbfbc8190a88fa7b79960d890 completed May 18, 2026, 9:12 p.m.
NED2 Entity disambiguation (via description) batch_6a0b816a956c8190895d87f74c4785f8 completed May 18, 2026, 9:15 p.m.
Created at: April 17, 2026, 3:14 p.m.