Triple

T12174862
Position Surface form Disambiguated ID Type / Status
Subject Guiana Space Centre E290061 entity
Predicate launchPad P10666 FINISHED
Object ELS
ELS is a Soyuz launch complex at the Guiana Space Centre in French Guiana used for orbiting satellites and other payloads.
 E965896 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: ELS | Statement: [Guiana Space Centre, launchPad, ELS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ELS
Context triple: [Guiana Space Centre, launchPad, ELS]
  • A. ELS
    ELS is the abbreviation for the Existing Liabilities Scheme, a regulatory framework dealing with pre-existing financial or insurance obligations.
  • B. ESS
    ESS is the commonly used abbreviation for the European Standardization System, the framework through which European standards are developed and harmonized.
  • C. ERS
    ERS is the principal economic and social science research agency of the U.S. Department of Agriculture, providing data and analysis on agriculture, food, the environment, and rural development.
  • D. ERS
    ERS is the abbreviation for the Elmira River Sharks, a professional ice hockey team based in Elmira, New York.
  • E. ENS
    ENS is a common abbreviation for the École Normale Supérieure, a prestigious French grande école known for its elite training in the sciences and humanities.
  • 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: ELS
Triple: [Guiana Space Centre, launchPad, ELS]
Generated description
ELS is a Soyuz launch complex at the Guiana Space Centre in French Guiana used for orbiting satellites and other payloads.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ELS
Target entity description: ELS is a Soyuz launch complex at the Guiana Space Centre in French Guiana used for orbiting satellites and other payloads.
  • A. ELS
    ELS is the abbreviation for the Existing Liabilities Scheme, a regulatory framework dealing with pre-existing financial or insurance obligations.
  • B. ESS
    ESS is the commonly used abbreviation for the European Standardization System, the framework through which European standards are developed and harmonized.
  • C. ERS
    ERS is the principal economic and social science research agency of the U.S. Department of Agriculture, providing data and analysis on agriculture, food, the environment, and rural development.
  • D. ERS
    ERS is the abbreviation for the Elmira River Sharks, a professional ice hockey team based in Elmira, New York.
  • E. ENS
    ENS is a common abbreviation for the École Normale Supérieure, a prestigious French grande école known for its elite training in the sciences and humanities.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915dc71788190bdaadf7be9d8d6ce completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6a9482481909500c216f23fceb4 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f5fdebe3fc81909a5bb23a943c3c43 completed May 2, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69f5feeaf2e48190995f282b02a9caaf completed May 2, 2026, 1:40 p.m.
Created at: April 8, 2026, 9:50 p.m.