Triple

T5129133
Position Surface form Disambiguated ID Type / Status
Subject Leo II Dwarf Galaxy E115651 entity
Predicate catalog P20407 FINISHED
Object UGC
UGC is an astronomical catalog of galaxies widely used to identify and classify extragalactic objects such as the Leo II Dwarf Galaxy.
 E496041 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: UGC | Statement: [Leo II Dwarf Galaxy, catalog, UGC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UGC
Context triple: [Leo II Dwarf Galaxy, catalog, UGC]
  • A. UGC
    UGC (University Grants Commission) is a statutory body of the Indian government responsible for coordinating, determining, and maintaining standards of higher education in India.
  • B. UC
    UC is a public university in Canberra, Australia, known for its career-focused programs and strong industry partnerships.
  • C. UC
    UC is the commonly used abbreviation for Universal Credit, the United Kingdom’s main welfare benefit for people on a low income or out of work.
  • D. UC
    UC is a leading Chilean university, widely recognized for its academic excellence and strong influence in education, research, and public policy in Latin America.
  • E. UC
    UC is the final generation of the Holden Torana, a compact Australian car produced in the late 1970s.
  • 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: UGC
Triple: [Leo II Dwarf Galaxy, catalog, UGC]
Generated description
UGC is an astronomical catalog of galaxies widely used to identify and classify extragalactic objects such as the Leo II Dwarf Galaxy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UGC
Target entity description: UGC is an astronomical catalog of galaxies widely used to identify and classify extragalactic objects such as the Leo II Dwarf Galaxy.
  • A. UGC
    UGC (University Grants Commission) is a statutory body of the Indian government responsible for coordinating, determining, and maintaining standards of higher education in India.
  • B. UC
    UC is a public university in Canberra, Australia, known for its career-focused programs and strong industry partnerships.
  • C. UC
    UC is the commonly used abbreviation for Universal Credit, the United Kingdom’s main welfare benefit for people on a low income or out of work.
  • D. UC
    UC is a leading Chilean university, widely recognized for its academic excellence and strong influence in education, research, and public policy in Latin America.
  • E. UC
    UC is the final generation of the Holden Torana, a compact Australian car produced in the late 1970s.
  • 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_69bd444426bc819099ccd23f141e22aa completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7825facc8190b2a6c17216290b5c completed March 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4c23d5c8190883a297254d9c80d completed March 21, 2026, 4:18 p.m.
NEDg Description generation batch_69bec6620aac8190a820190e7facd70a completed March 21, 2026, 4:25 p.m.
NED2 Entity disambiguation (via description) batch_69bec70062f48190baae277e6f8c5c4e completed March 21, 2026, 4:27 p.m.
Created at: March 20, 2026, 1:42 p.m.