Triple
T15817432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varyag |
E383514
|
entity |
| Predicate | scuttledAt |
P3148
|
FINISHED |
| Object | Chemulpo Bay |
E150720
|
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: Chemulpo Bay | Statement: [Varyag, scuttledAt, Chemulpo Bay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chemulpo Bay Context triple: [Varyag, scuttledAt, Chemulpo Bay]
-
A.
Wonsan Bay
Wonsan Bay is a coastal inlet on the east coast of North Korea, known for its strategic military importance and proximity to the port city of Wonsan.
-
B.
Chemulpo
chosen
Chemulpo is the historical name for the Korean port city now known as Incheon, which played a key role in late 19th- and early 20th-century trade and foreign contact.
-
C.
Jinhae Bay
Jinhae Bay is a coastal bay in South Korea known for its naval port facilities and scenic surroundings, including popular cherry blossom viewing areas.
-
D.
Sepetiba Bay
Sepetiba Bay is a coastal bay in southeastern Brazil known for its rich marine biodiversity, fishing activities, and proximity to major industrial and port facilities.
-
E.
Suyeong Bay
Suyeong Bay is a coastal bay in Busan, South Korea, known for its scenic waterfront, urban skyline views, and proximity to popular beaches and the Gwangan Bridge.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a4332c8190bc525e06d6f3a6b4 |
completed | April 16, 2026, 11:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9997e0048190b0c00a5a0ff561c9 |
completed | May 9, 2026, 8:31 p.m. |
Created at: April 10, 2026, 4:49 a.m.