Triple
T19140757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GT USA Wilmington |
E468548
|
entity |
| Predicate | parentCompany |
P254
|
FINISHED |
| Object | Gulftainer |
—
|
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: Gulftainer | Statement: [GT USA Wilmington, parentCompany, Gulftainer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gulftainer Context triple: [GT USA Wilmington, parentCompany, Gulftainer]
-
A.
Gulftainer
chosen
Gulftainer is a global port management and logistics company based in the United Arab Emirates, known for operating and developing container terminals and cargo facilities worldwide.
-
B.
Hapag-Lloyd Express
Hapag-Lloyd Express was a German low-cost airline that operated short-haul flights across Europe in the early 2000s before merging into TUIfly.
-
C.
Suezmax
Suezmax is a standard size category for large oil tankers optimized to carry the maximum possible cargo through the Suez Canal.
-
D.
Port Liner
Port Liner is an automated guideway transit system in Kobe, Japan, known as one of the world’s first driverless urban transit lines, linking central Kobe with Port Island.
-
E.
Evergreen Marine
Evergreen Marine is a major Taiwanese container shipping company known for operating one of the world’s largest fleets of container vessels.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3f094f88190996279d7b548edea |
completed | April 20, 2026, 8:29 a.m. |
Created at: April 10, 2026, 12:05 p.m.