Triple

T19958089
Position Surface form Disambiguated ID Type / Status
Subject TT Zero E479738 entity
Predicate sponsor P67 FINISHED
Object SES
SES is a global satellite communications company that operates a large fleet of geostationary and medium Earth orbit satellites to provide video and data connectivity services worldwide.
 E1404519 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: SES | Statement: [TT Zero, sponsor, SES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SES
Context triple: [TT Zero, sponsor, SES]
  • A. SES
    SES is the commonly used abbreviation for St Edward's School, a co-educational independent boarding and day school in Oxford, England.
  • B. SES
    SES is the abbreviation for the Senior Executive Service, the corps of top-level civilian managers and executives in the U.S. federal government.
  • C. SES
    SES is the standard abbreviation for the astrophysics textbook "Structure and Evolution of the Stars," a foundational work on stellar structure and life cycles.
  • D. ESS
    ESS is the commonly used abbreviation for Étoile Sportive du Sahel, a prominent multi-sport club based in Sousse, Tunisia, best known for its successful football team.
  • E. ESS
    ESS is the commonly used abbreviation for the European Standardization System, the framework through which European standards are developed and harmonized.
  • 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: SES
Triple: [TT Zero, sponsor, SES]
Generated description
SES is a global satellite communications company that operates a large fleet of geostationary and medium Earth orbit satellites to provide video and data connectivity services worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SES
Target entity description: SES is a global satellite communications company that operates a large fleet of geostationary and medium Earth orbit satellites to provide video and data connectivity services worldwide.
  • A. SES
    SES is the commonly used abbreviation for St Edward's School, a co-educational independent boarding and day school in Oxford, England.
  • B. SES
    SES is the abbreviation for the Senior Executive Service, the corps of top-level civilian managers and executives in the U.S. federal government.
  • C. SES
    SES is the standard abbreviation for the astrophysics textbook "Structure and Evolution of the Stars," a foundational work on stellar structure and life cycles.
  • D. ESS
    ESS is the commonly used abbreviation for the European Standardization System, the framework through which European standards are developed and harmonized.
  • E. ESS
    ESS is the commonly used abbreviation for Étoile Sportive du Sahel, a prominent multi-sport club based in Sousse, Tunisia, best known for its successful football team.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65af1b32c81908ebe0e2570ec06a9 completed April 20, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07fdcaca3881908b8f3fb7e8862a12 completed May 16, 2026, 5:16 a.m.
NEDg Description generation batch_6a07fe60ce9881908b2ec495d99d701a completed May 16, 2026, 5:19 a.m.
NED2 Entity disambiguation (via description) batch_6a07ff024fa48190b0d68ad87dc25ef6 completed May 16, 2026, 5:22 a.m.
Created at: April 10, 2026, 1:54 p.m.