Triple

T4065610
Position Surface form Disambiguated ID Type / Status
Subject Himawari meteorological satellites E86315 entity
Predicate alsoKnownAs P39 FINISHED
Object GMS series
The GMS series is a family of Japanese geostationary meteorological satellites used primarily for weather observation and forecasting over the Asia-Pacific region.
E36768 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: GMS series | Statement: [Himawari meteorological satellites, alsoKnownAs, GMS series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GMS series
Context triple: [Himawari meteorological satellites, alsoKnownAs, GMS series]
  • A. G Series
    G Series is Dell’s line of gaming-focused laptops and desktops designed to offer strong performance at more affordable prices than its premium Alienware range.
  • B. Série 4000
    Série 4000 is a class of high-speed electric multiple unit trains used by Comboios de Portugal for its Alfa Pendular premium intercity services.
  • C. GTS
    GTS is a high-performance, sport-oriented variant of the Holden Monaro produced by Holden’s performance division.
  • D. GTS
    GTS is an abbreviation commonly used for the Global Telecommunication System, an international network for exchanging meteorological data.
  • E. GPT series
    The GPT series is a family of large language models developed by OpenAI that generate human-like text and perform a wide range of natural language tasks.
  • 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: GMS series
Triple: [Himawari meteorological satellites, alsoKnownAs, GMS series]
Generated description
The GMS series is a family of Japanese geostationary meteorological satellites used primarily for weather observation and forecasting over the Asia-Pacific region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: GMS series
Target entity description: The GMS series is a family of Japanese geostationary meteorological satellites used primarily for weather observation and forecasting over the Asia-Pacific region.
  • A. G Series
    G Series is Dell’s line of gaming-focused laptops and desktops designed to offer strong performance at more affordable prices than its premium Alienware range.
  • B. Série 4000
    Série 4000 is a class of high-speed electric multiple unit trains used by Comboios de Portugal for its Alfa Pendular premium intercity services.
  • C. GTS
    GTS is a high-performance, sport-oriented variant of the Holden Monaro produced by Holden’s performance division.
  • D. GTS chosen
    GTS is an abbreviation commonly used for the Global Telecommunication System, an international network for exchanging meteorological data.
  • E. GPT series
    The GPT series is a family of large language models developed by OpenAI that generate human-like text and perform a wide range of natural language tasks.
  • F. None of above.

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_69aed93c69208190a4efac0efe3cd69b completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbf58d9c8190936e453b0d397cb0 completed March 9, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562b17c888190ac4771f2bb4f0d58 completed March 14, 2026, 1:29 p.m.
NEDg Description generation batch_69b5637e72948190989169b0a46916a8 completed March 14, 2026, 1:32 p.m.
NED2 Entity disambiguation (via description) batch_69b563fc4cb081908ba0f1a799338a8c completed March 14, 2026, 1:34 p.m.
Created at: March 9, 2026, 3:38 p.m.