Triple

T942805
Position Surface form Disambiguated ID Type / Status
Subject Large Magellanic Cloud E20343 entity
Predicate abbreviation P43 FINISHED
Object LMC
LMC is a nearby irregular dwarf galaxy and satellite of the Milky Way, notable for its active star formation and role in studies of galactic structure and evolution.
 E110989 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: LMC | Statement: [Large Magellanic Cloud, abbreviation, LMC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LMC
Context triple: [Large Magellanic Cloud, abbreviation, LMC]
  • A. LM
    LM is the IATA airline designator assigned to Loganair, a regional airline based in Scotland.
  • B. CMC
    CMC is the commonly used abbreviation for the Commandant of the United States Marine Corps, the service’s highest-ranking officer and senior military leader.
  • C. L.A.M.C.
    L.A.M.C. is the commonly used abbreviation for the Los Angeles Municipal Code, the body of local laws and regulations governing the City of Los Angeles.
  • D. L2M
    L2M is a DARPA research initiative focused on developing AI systems capable of continuous, lifelong learning and adaptation.
  • E. LOM
    LOM is the official abbreviation for the Legion of Merit, a prestigious United States military decoration awarded for exceptionally meritorious conduct in the performance of outstanding services and achievements.
  • 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: LMC
Triple: [Large Magellanic Cloud, abbreviation, LMC]
Generated description
LMC is a nearby irregular dwarf galaxy and satellite of the Milky Way, notable for its active star formation and role in studies of galactic structure and evolution.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LMC
Target entity description: LMC is a nearby irregular dwarf galaxy and satellite of the Milky Way, notable for its active star formation and role in studies of galactic structure and evolution.
  • A. LM
    LM is the IATA airline designator assigned to Loganair, a regional airline based in Scotland.
  • B. CMC
    CMC is the commonly used abbreviation for the Commandant of the United States Marine Corps, the service’s highest-ranking officer and senior military leader.
  • C. L.A.M.C.
    L.A.M.C. is the commonly used abbreviation for the Los Angeles Municipal Code, the body of local laws and regulations governing the City of Los Angeles.
  • D. L2M
    L2M is a DARPA research initiative focused on developing AI systems capable of continuous, lifelong learning and adaptation.
  • E. LOM
    LOM is the official abbreviation for the Legion of Merit, a prestigious United States military decoration awarded for exceptionally meritorious conduct in the performance of outstanding services and achievements.
  • 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_69a493b0270c81909e6c9ce310f6aa55 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3a1a4888190997adf56eb761431 completed March 1, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826e585208190bf477bf78d162e84 completed March 4, 2026, 12:34 p.m.
NEDg Description generation batch_69a83365d590819085d8e92c1a69aa10 completed March 4, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_69a834268c388190ac725f48be8f8ea6 completed March 4, 2026, 1:31 p.m.
Created at: March 1, 2026, 7:40 p.m.