Triple

T9914936
Position Surface form Disambiguated ID Type / Status
Subject Hippodrome d'Enghien-Soisy E185843 entity
Predicate operatedBy P86 FINISHED
Object LeTROT
LeTROT is the French governing and organizing body responsible for harness racing and trotting competitions.
 E829737 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: LeTROT | Statement: [Hippodrome d'Enghien-Soisy, operatedBy, LeTROT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LeTROT
Context triple: [Hippodrome d'Enghien-Soisy, operatedBy, LeTROT]
  • A. LeT
    LeT is a Pakistan-based Islamist militant organization widely known for carrying out the 2008 Mumbai terrorist attacks and being designated as a terrorist group by numerous countries.
  • B. Trotter
    Trotter is the surname of Tariq "Black Thought" Trotter, the acclaimed rapper, lead MC of The Roots, and influential figure in hip-hop.
  • C. Trotti
    Trotti is a surname most notably associated with American screenwriter and film producer Lamar Trotti.
  • D. TRO
    TRO is the National Rail station code for Trowbridge railway station in Wiltshire, England.
  • E. Tronchet
    Tronchet is a French surname most notably borne by François Denis Tronchet, an influential 18th–19th century jurist and key figure in drafting the Napoleonic Civil Code.
  • 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: LeTROT
Triple: [Hippodrome d'Enghien-Soisy, operatedBy, LeTROT]
Generated description
LeTROT is the French governing and organizing body responsible for harness racing and trotting competitions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LeTROT
Target entity description: LeTROT is the French governing and organizing body responsible for harness racing and trotting competitions.
  • A. LeT
    LeT is a Pakistan-based Islamist militant organization widely known for carrying out the 2008 Mumbai terrorist attacks and being designated as a terrorist group by numerous countries.
  • B. Trotter
    Trotter is the surname of Tariq "Black Thought" Trotter, the acclaimed rapper, lead MC of The Roots, and influential figure in hip-hop.
  • C. Trotti
    Trotti is a surname most notably associated with American screenwriter and film producer Lamar Trotti.
  • D. TRO
    TRO is the National Rail station code for Trowbridge railway station in Wiltshire, England.
  • E. Tronchet
    Tronchet is a French surname most notably borne by François Denis Tronchet, an influential 18th–19th century jurist and key figure in drafting the Napoleonic Civil Code.
  • 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_69ca829b45f481909040f7b99a1976ed completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb53ba1ac8190ba655133b81596d7 completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20dd82edc8190b405a3969864af77 completed April 5, 2026, 7:23 a.m.
NEDg Description generation batch_69d20ed1f69c819099faa881a9a4368d completed April 5, 2026, 7:27 a.m.
NED2 Entity disambiguation (via description) batch_69d212e3b864819092b8464f5a5ab696 completed April 5, 2026, 7:44 a.m.
Created at: March 30, 2026, 8:41 p.m.