Triple

T2923921
Position Surface form Disambiguated ID Type / Status
Subject ASVEL Basket E78797 entity
Predicate sponsors P1807 FINISHED
Object LDLC
LDLC is a French online retailer specializing in computer hardware, electronics, and high-tech equipment.
 E309577 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: LDLC | Statement: [ASVEL Basket, sponsors, LDLC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LDLC
Context triple: [ASVEL Basket, sponsors, LDLC]
  • A. LCC
    LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
  • B. LCL
    LCL is a visual component framework used by the Lazarus IDE to build cross-platform graphical user interfaces in Free Pascal.
  • C. LC4
    LC4 is an iconic modernist chaise longue designed by Le Corbusier, Pierre Jeanneret, and Charlotte Perriand, renowned for its adjustable reclining form and tubular steel frame.
  • D. RLC
    RLC is the Royal Logistic Corps, a branch of the British Army responsible for providing logistics support including supply, transport, and distribution.
  • E. LDCL
    LDCL is the stock ticker symbol under which Loudcloud, a former cloud services and web hosting company, was traded on public markets.
  • 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: LDLC
Triple: [ASVEL Basket, sponsors, LDLC]
Generated description
LDLC is a French online retailer specializing in computer hardware, electronics, and high-tech equipment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LDLC
Target entity description: LDLC is a French online retailer specializing in computer hardware, electronics, and high-tech equipment.
  • A. LCC
    LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
  • B. LCL
    LCL is a visual component framework used by the Lazarus IDE to build cross-platform graphical user interfaces in Free Pascal.
  • C. LC4
    LC4 is an iconic modernist chaise longue designed by Le Corbusier, Pierre Jeanneret, and Charlotte Perriand, renowned for its adjustable reclining form and tubular steel frame.
  • D. RLC
    RLC is the Royal Logistic Corps, a branch of the British Army responsible for providing logistics support including supply, transport, and distribution.
  • E. LDCL
    LDCL is the stock ticker symbol under which Loudcloud, a former cloud services and web hosting company, was traded on public markets.
  • 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad97bf2df88190bd4f1e90d4656507 completed March 8, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b056375b5c819081c7d4fd506cbf25 completed March 10, 2026, 5:34 p.m.
NEDg Description generation batch_69b05f640afc8190bf9b5b90ff7c9b0e completed March 10, 2026, 6:13 p.m.
NED2 Entity disambiguation (via description) batch_69b06010c1948190a2e13084a79b106b completed March 10, 2026, 6:16 p.m.
Created at: March 8, 2026, 2:55 p.m.