Triple

T15957608
Position Surface form Disambiguated ID Type / Status
Subject Étoile Sportive du Sahel E386975 entity
Predicate shortName P43 FINISHED
Object 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.
E1185956 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: ESS | Statement: [Étoile Sportive du Sahel, shortName, ESS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ESS
Context triple: [Étoile Sportive du Sahel, shortName, ESS]
  • A. ESS
    ESS is the commonly used abbreviation for the European Standardization System, the framework through which European standards are developed and harmonized.
  • B. EPS
    EPS is the abbreviation for UC Berkeley’s Department of Earth and Planetary Science, which focuses on research and education in geology, geophysics, and planetary sciences.
  • C. 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.
  • D. ELS
    ELS is the abbreviation for the Existing Liabilities Scheme, a regulatory framework dealing with pre-existing financial or insurance obligations.
  • E. ELS
    ELS is a Soyuz launch complex at the Guiana Space Centre in French Guiana used for orbiting satellites and other payloads.
  • 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: ESS
Triple: [Étoile Sportive du Sahel, shortName, ESS]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ESS
Target entity description: 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.
  • A. ESS
    ESS is the commonly used abbreviation for the European Standardization System, the framework through which European standards are developed and harmonized.
  • B. EPS
    EPS is the abbreviation for UC Berkeley’s Department of Earth and Planetary Science, which focuses on research and education in geology, geophysics, and planetary sciences.
  • C. 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.
  • D. ELS
    ELS is the abbreviation for the Existing Liabilities Scheme, a regulatory framework dealing with pre-existing financial or insurance obligations.
  • E. ELS
    ELS is a Soyuz launch complex at the Guiana Space Centre in French Guiana used for orbiting satellites and other payloads.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156fc6f348190b49c4858281a0904 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe7e76d481909e6f1d1ea33edd60 completed May 9, 2026, 11:08 p.m.
NEDg Description generation batch_69ffbf3e80b08190899262a9d03c0e93 completed May 9, 2026, 11:11 p.m.
NED2 Entity disambiguation (via description) batch_69ffbfc0d1548190b7d2e9e10e837f0b completed May 9, 2026, 11:14 p.m.
Created at: April 10, 2026, 4:53 a.m.