Triple
T21584750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue House |
E532618
|
entity |
| Predicate | surroundedBy |
P224
|
FINISHED |
| Object | Bugaksan |
—
|
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: Bugaksan | Statement: [Blue House, surroundedBy, Bugaksan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bugaksan Context triple: [Blue House, surroundedBy, Bugaksan]
-
A.
Bugaksan
chosen
Bugaksan is a prominent mountain in central Seoul, South Korea, known for its historical city walls, scenic hiking trails, and views over the capital.
-
B.
Chiaksan
Chiaksan is a prominent mountain in South Korea known for its rugged peaks, dense forests, and inclusion within Chiaksan National Park.
-
C.
Bukha
Bukha is a coastal town in Oman’s Musandam Peninsula, known for its historic fort and scenic views over the Strait of Hormuz.
-
D.
Bakana
Bakana is a town and traditional community of the Kalabari people in the Niger Delta region of Rivers State, Nigeria.
-
E.
Gubakha
Gubakha is a small industrial town in Russia’s Perm Krai, historically associated with coal mining and chemical production in the Ural region.
- 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_69e0c4618bec8190bcb0feb74568cbb1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeeb5f2cc0819095552de70eb2ad8d |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 16, 2026, 6:31 p.m.