Triple
T16532801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coquelles Terminal |
E401609
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Getlink |
E90397
|
NE FINISHED |
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: Getlink | Statement: [Coquelles Terminal, operator, Getlink]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Getlink Context triple: [Coquelles Terminal, operator, Getlink]
-
A.
Getlink
chosen
Getlink is a French-based company that owns and operates the infrastructure of the Channel Tunnel rail link between the United Kingdom and continental Europe.
-
B.
ELink
ELink is an NCBI E-utilities tool that retrieves and navigates links between related records across NCBI databases.
-
C.
LinkPass
LinkPass is a type of transit fare product used within the same system as the CharlieTicket, providing riders with a pass-based option for public transportation access.
-
D.
Linky
Linky is a French smart electricity meter system deployed nationwide to enable remote readings, real-time consumption monitoring, and improved grid management.
-
E.
BobLinks
BobLinks is a fan-maintained online archive that compiles detailed information and setlists from Bob Dylan’s concerts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed97b0881909de106418aca8180 |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067a913388190afebe40fcc42e731 |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.