Triple

T10236043
Position Surface form Disambiguated ID Type / Status
Subject Marine Aircraft Group 11 E243465 entity
Predicate nickname P55 FINISHED
Object MAG-11
MAG-11 is a United States Marine Corps aviation unit known as Marine Aircraft Group 11, which provides combat-ready aircraft and aviation support.
E852907 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: MAG-11 | Statement: [Marine Aircraft Group 11, nickname, MAG-11]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MAG-11
Context triple: [Marine Aircraft Group 11, nickname, MAG-11]
  • A. MAG-39
    MAG-39 is a United States Marine Corps aviation unit that provides helicopter and tiltrotor support for Marine Air-Ground Task Force operations.
  • B. MAG
    MAG is the parent company of Malaysia Airlines and related aviation businesses, overseeing the group’s airline, cargo, and aviation services operations.
  • C. MAG
    MAG is the magnetometer instrument aboard the European Space Agency’s Venus Express spacecraft, designed to measure Venus’s magnetic field and its interaction with the solar wind.
  • D. MAG
    MAG is a major British airport operator that owns and manages several UK airports, including Manchester Airport.
  • E. MAG
    MAG is the abbreviated name used to represent Magic Gaming, the NBA 2K League affiliate of the Orlando Magic.
  • 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: MAG-11
Triple: [Marine Aircraft Group 11, nickname, MAG-11]
Generated description
MAG-11 is a United States Marine Corps aviation unit known as Marine Aircraft Group 11, which provides combat-ready aircraft and aviation support.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MAG-11
Target entity description: MAG-11 is a United States Marine Corps aviation unit known as Marine Aircraft Group 11, which provides combat-ready aircraft and aviation support.
  • A. MAG-39
    MAG-39 is a United States Marine Corps aviation unit that provides helicopter and tiltrotor support for Marine Air-Ground Task Force operations.
  • B. MAG
    MAG is the parent company of Malaysia Airlines and related aviation businesses, overseeing the group’s airline, cargo, and aviation services operations.
  • C. MAG
    MAG is the magnetometer instrument aboard the European Space Agency’s Venus Express spacecraft, designed to measure Venus’s magnetic field and its interaction with the solar wind.
  • D. MAG
    MAG is a major British airport operator that owns and manages several UK airports, including Manchester Airport.
  • E. MAG
    MAG is the Multistakeholder Advisory Group that supports and advises the United Nations-convened Internet Governance Forum on its program and agenda.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d219ab04819094a17c96bf1d65ae completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f762732481909246dcb768074643 completed April 9, 2026, 12:48 a.m.
NEDg Description generation batch_69d6fcaa16788190a4c7ef79a78febc6 completed April 9, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69d6fd6d705c81908e469068937a79b3 completed April 9, 2026, 1:14 a.m.
Created at: April 6, 2026, 11:22 a.m.