Triple
T7903322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taejongdae Lighthouse |
E183508
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Taejongdae Observatory |
E185511
|
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: Taejongdae Observatory | Statement: [Taejongdae Lighthouse, near, Taejongdae Observatory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taejongdae Observatory Context triple: [Taejongdae Lighthouse, near, Taejongdae Observatory]
-
A.
Gyeryongdae complex
The Gyeryongdae complex is South Korea’s main military headquarters facility, housing the central commands of its armed forces.
-
B.
Kumsusan Palace of the Sun
Kumsusan Palace of the Sun is a grand mausoleum and former presidential residence in Pyongyang that serves as the memorial site for North Korea’s founding leaders, Kim Il Sung and Kim Jong Il.
-
C.
Daedeok Science Town
Daedeok Science Town is a major research and development hub in South Korea, known for its concentration of high-tech industries, government research institutes, and universities.
-
D.
Taejongdae Park
chosen
Taejongdae Park is a scenic coastal park in Busan, South Korea, famous for its dramatic seaside cliffs, lighthouse views, and walking trails overlooking the ocean.
-
E.
Hwaseong
Hwaseong is a city in Gyeonggi Province, South Korea, known for its rapid industrial growth and proximity to major urban centers like Suwon and Seoul.
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a41b0fc81909890f2e4f432a5cf |
completed | March 31, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bc35cec8190bda3dfe7d8d4ed18 |
completed | March 31, 2026, 5:29 a.m. |
Created at: March 30, 2026, 5:02 p.m.