Triple
T3427812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samsung Fire & Marine Insurance |
E72265
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object | Samsung Fire & Marine |
E72265
|
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: Samsung Fire & Marine | Statement: [Samsung Fire & Marine Insurance, alternateName, Samsung Fire & Marine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samsung Fire & Marine Context triple: [Samsung Fire & Marine Insurance, alternateName, Samsung Fire & Marine]
-
A.
Samsung Fire & Marine Insurance
chosen
Samsung Fire & Marine Insurance is a major South Korean non-life insurance company offering a wide range of property, casualty, and marine insurance services.
-
B.
Atlantic Marine
Atlantic Marine is a shipbuilding company known for constructing specialized research and commercial vessels.
-
C.
Evergreen Marine
Evergreen Marine is a major Taiwanese container shipping company known for operating one of the world’s largest fleets of container vessels.
-
D.
Jersey Marine
Jersey Marine is a coastal village in South Wales known for its proximity to Swansea Bay and its historic tower landmark.
-
E.
Protective Life Corporation
Protective Life Corporation is a U.S.-based insurance and financial services company known for offering life insurance, annuities, and asset protection products.
- 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb983f4608190abcc27aa7b926deb |
completed | March 8, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b35478448481908e1c0f717d99f992 |
completed | March 13, 2026, 12:04 a.m. |
Created at: March 8, 2026, 3:15 p.m.