Triple

T5934252
Position Surface form Disambiguated ID Type / Status
Subject Worldline E132005 entity
Predicate tickerSymbol P1447 FINISHED
Object WLN
WLN is the stock ticker symbol for Worldline, a major European provider of payment and transactional services.
 E556362 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: WLN | Statement: [Worldline, tickerSymbol, WLN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WLN
Context triple: [Worldline, tickerSymbol, WLN]
  • A. WLWT
    WLWT is a Cincinnati-based television station that serves as a major local NBC affiliate in the United States.
  • B. WTN
    WTN is the IATA airport code for RAF Waddington, a Royal Air Force station in Lincolnshire, England.
  • C. WLBZ
    WLBZ is a television station serving the Bangor, Maine market as a primary network affiliate.
  • D. WNL
    WNL is the National Rail station code for Whinhill railway station in Inverclyde, Scotland.
  • E. WNLO
    WNLO is a major Chinese research institute specializing in optoelectronics and photonics, based in Wuhan.
  • 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: WLN
Triple: [Worldline, tickerSymbol, WLN]
Generated description
WLN is the stock ticker symbol for Worldline, a major European provider of payment and transactional services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WLN
Target entity description: WLN is the stock ticker symbol for Worldline, a major European provider of payment and transactional services.
  • A. WLWT
    WLWT is a Cincinnati-based television station that serves as a major local NBC affiliate in the United States.
  • B. WTN
    WTN is the IATA airport code for RAF Waddington, a Royal Air Force station in Lincolnshire, England.
  • C. WLBZ
    WLBZ is a television station serving the Bangor, Maine market as a primary network affiliate.
  • D. WNL
    WNL is the National Rail station code for Whinhill railway station in Inverclyde, Scotland.
  • E. WNLO
    WNLO is a major Chinese research institute specializing in optoelectronics and photonics, based in Wuhan.
  • 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_69c0085c55dc8190aa90e242c956e2fa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c038a0c4e481908170d615330edb1a completed March 22, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c069e450819096b268637ffcd219 completed March 23, 2026, 4:24 a.m.
NEDg Description generation batch_69c0c46fabf081908484ba066c25187b completed March 23, 2026, 4:41 a.m.
NED2 Entity disambiguation (via description) batch_69c0c4f21528819093a36c07e2637446 completed March 23, 2026, 4:43 a.m.
Created at: March 22, 2026, 4 p.m.