Triple
T22504873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worldline SA |
E556362
|
entity |
| Predicate | tradedAs |
P2822
|
FINISHED |
| Object | WLN |
—
|
NE NERFINISHED |
How this triple was built (2 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 SA, tradedAs, WLN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WLN Context triple: [Worldline SA, tradedAs, WLN]
-
A.
WLN
chosen
WLN is the stock ticker symbol for Worldline, a major European provider of payment and transactional services.
-
B.
WLV
WLV is the National Rail station code for Wallasey Village railway station on the Wirral Line in Merseyside, England.
-
C.
WNYL
WNYL is a New York City FM radio station known for its contemporary music programming and affiliation with the Audacy-owned cluster that includes WCBS (AM).
-
D.
WLND
WLND is the station code for Wonderland, a public transit station.
-
E.
WLWT
WLWT is a Cincinnati-based television station that serves as a major local NBC affiliate in the United States.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d5ac5808190a66f9111c350f4dc |
completed | April 29, 2026, 1:22 a.m. |
Created at: April 16, 2026, 8:50 p.m.