Triple
T18761645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanjin Group |
E458781
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Hanjin |
—
|
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: Hanjin | Statement: [Hanjin Group, hasBrand, Hanjin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanjin Context triple: [Hanjin Group, hasBrand, Hanjin]
-
A.
Hanjin International Corporation
Hanjin International Corporation is a South Korean company best known for its real estate and hospitality developments, including major projects like the Wilshire Grand Center in Los Angeles.
-
B.
Hanjin Group
chosen
Hanjin Group is a South Korean conglomerate best known for its global logistics and transportation businesses, including former flagship airline Korean Air.
-
C.
Hanjin Shipping
Hanjin Shipping was a major South Korean container shipping company that was once one of the world’s largest carriers before its high-profile bankruptcy in 2016.
-
D.
Hanjin Transportation
Hanjin Transportation is a South Korean logistics and freight transport company that provides domestic and international shipping, courier, and cargo services.
-
E.
K Line
K Line is a light rail route in the Los Angeles Metro Rail system serving neighborhoods in South Los Angeles and connecting to key transit hubs.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d7fd5008190823bc7e37fdd6669 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 10, 2026, 11:52 a.m.