Triple
T22398864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Daecheong |
E553704
|
entity |
| Predicate | nearIsland |
P19486
|
FINISHED |
| Object | Daecheongdo |
—
|
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: Daecheongdo | Statement: [Battle of Daecheong, nearIsland, Daecheongdo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daecheongdo Context triple: [Battle of Daecheong, nearIsland, Daecheongdo]
-
A.
Daecheongdo
chosen
Daecheongdo is a South Korean island in the Yellow Sea known for its strategic location near the maritime border with North Korea and its role in regional security and fishing.
-
B.
Ryanggang-do
Ryanggang-do is a mountainous inland province in northern North Korea, known for containing Mount Paektu and bordering China along the upper Yalu River.
-
C.
Dobongsan
Dobongsan is a prominent, rocky mountain in northern South Korea known for its scenic hiking trails, granite peaks, and location within Bukhansan National Park.
-
D.
Ok-dong
Ok-dong is a neighborhood in Ulsan, South Korea, known for encompassing the large urban green space of Ulsan Grand Park.
-
E.
Gyeryongsan
Gyeryongsan is a prominent mountain in central South Korea known for its scenic national park, rich biodiversity, and cultural sites including historic Buddhist temples.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15861ac248190a967f534feea0265 |
completed | April 29, 2026, 1:01 a.m. |
Created at: April 16, 2026, 8:46 p.m.