Triple
T2259239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ever Given |
E49997
|
entity |
| Predicate | charteredBy |
P598
|
FINISHED |
| Object | Evergreen Marine |
E250285
|
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: Evergreen Marine | Statement: [Ever Given, charteredBy, Evergreen Marine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evergreen Marine Context triple: [Ever Given, charteredBy, Evergreen Marine]
-
A.
Evergreen Marine
chosen
Evergreen Marine is a major Taiwanese container shipping company known for operating one of the world’s largest fleets of container vessels.
-
B.
Franklin Line
The Franklin Line is a Massachusetts Bay Transportation Authority (MBTA) commuter rail line serving communities southwest of Boston.
-
C.
Black Star Line
Black Star Line was a shipping company established in the early 20th century as part of a broader movement to promote Black economic independence and facilitate the return of the African diaspora to Africa.
-
D.
MV Arlanza
MV Arlanza was a British ocean liner built by the renowned shipbuilding company Harland and Wolff for passenger and cargo service in the mid-20th century.
-
E.
SS Nomadic
SS Nomadic is a preserved early 20th-century tender ship built to serve RMS Titanic and now a historic museum vessel in Belfast.
- 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_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc15ad06c8190b6d0babc17015787 |
completed | March 7, 2026, 6:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f067f208190a399e2b1a83badd1 |
completed | March 9, 2026, 8:04 a.m. |
Created at: March 4, 2026, 7:48 p.m.