Triple
T6810206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gyeryongsan |
E156609
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object | Gwaneumbong |
E279434
|
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: Gwaneumbong | Statement: [Gyeryongsan, hasPeak, Gwaneumbong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gwaneumbong Context triple: [Gyeryongsan, hasPeak, Gwaneumbong]
-
A.
Gubongsan
Gubongsan is a mountain located in or near the city of Daejeon in South Korea, known for its hiking trails and scenic views.
-
B.
Gulgong
Gulgong is a historic gold rush town in New South Wales, Australia, known for its well-preserved 19th-century streetscapes and heritage buildings.
-
C.
Gwan-eum
chosen
Gwan-eum is the Korean name for Guanyin, the bodhisattva of compassion widely revered in East Asian Buddhism.
-
D.
Hwireung
Hwireung is a royal tomb from Korea’s Joseon Dynasty, notable as one of the UNESCO-listed Royal Tombs of the Joseon Dynasty.
-
E.
Tanaeang
Tanaeang is a village settlement located on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
- 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_69c68828b26c819090fe9df7612bbc27 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d30ded6481908fd64611607c610e |
completed | March 27, 2026, 6:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72f9d19bc8190bbdc20178239bae1 |
completed | March 28, 2026, 1:32 a.m. |
Created at: March 27, 2026, 2:16 p.m.