Triple

T2337663
Position Surface form Disambiguated ID Type / Status
Subject Gee E44347 entity
Predicate successor P78 FINISHED
Object GEE-H
GEE-H is a successor model to the Gee language model series, representing a more advanced generation of the system.
E258731 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: GEE-H | Statement: [Gee, successor, GEE-H]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GEE-H
Context triple: [Gee, successor, GEE-H]
  • A. Gee
    Gee was a World War II-era British radio navigation system that enabled Royal Air Force bombers to determine their position and improve bombing accuracy, especially during night operations.
  • B. Geg
    Geg is an alternative name for Gheg, the northern dialect group of the Albanian language spoken primarily in northern Albania and surrounding regions.
  • C. HEE
    HEE is the acronym for Health Education England, the national body responsible for overseeing education, training, and workforce development for healthcare staff in England.
  • D. Geez
    Geez is an ancient South Semitic language of Ethiopia and Eritrea, best known today as the liturgical language of the Ethiopian and Eritrean Orthodox Tewahedo Churches.
  • E. GEOC
    GEOC is the commonly used abbreviation for the Division of Geochemistry, a professional group focused on the study of the chemical composition and processes of the Earth.
  • 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: GEE-H
Triple: [Gee, successor, GEE-H]
Generated description
GEE-H is a successor model to the Gee language model series, representing a more advanced generation of the system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: GEE-H
Target entity description: GEE-H is a successor model to the Gee language model series, representing a more advanced generation of the system.
  • A. Gee
    Gee was a World War II-era British radio navigation system that enabled Royal Air Force bombers to determine their position and improve bombing accuracy, especially during night operations.
  • B. Geg
    Geg is an alternative name for Gheg, the northern dialect group of the Albanian language spoken primarily in northern Albania and surrounding regions.
  • C. HEE
    HEE is the acronym for Health Education England, the national body responsible for overseeing education, training, and workforce development for healthcare staff in England.
  • D. Geez
    Geez is an ancient South Semitic language of Ethiopia and Eritrea, best known today as the liturgical language of the Ethiopian and Eritrean Orthodox Tewahedo Churches.
  • E. GEOC
    GEOC is the commonly used abbreviation for the Division of Geochemistry, a professional group focused on the study of the chemical composition and processes of the Earth.
  • 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_69a889132b488190bbb43ad4780ddd92 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc68ac4348190ab6ec46ec7879643 completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae961adfdc8190bf79d479d8207599 completed March 9, 2026, 9:42 a.m.
NEDg Description generation batch_69ae97406c588190855ecb6c9ed00bc9 completed March 9, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69ae97c82e8c8190a613444ea4ffb5a0 completed March 9, 2026, 9:50 a.m.
Created at: March 4, 2026, 7:51 p.m.