Triple
T11752213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gwan-eum |
E279434
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Gwan-eum Bosal |
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: Gwan-eum Bosal | Statement: [Gwan-eum, alsoKnownAs, Gwan-eum Bosal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gwan-eum Bosal Context triple: [Gwan-eum, alsoKnownAs, Gwan-eum Bosal]
-
A.
Gwan-eum
chosen
Gwan-eum is the Korean name for Guanyin, the bodhisattva of compassion widely revered in East Asian Buddhism.
-
B.
Seokbosangjeol
Seokbosangjeol is a 15th-century Korean Buddhist text, written in the then-new Hangul script, that compiles and explains stories from the life and teachings of the Buddha.
-
C.
Sinseongbong
Sinseongbong is a prominent mountain peak located within the Gyeryongsan mountain range in South Korea.
-
D.
Yeongdodaegyo
Yeongdodaegyo is a bascule bridge in Busan, South Korea, known as the city’s first mainland–island bridge and a local historical landmark.
-
E.
Gwanaksan
Gwanaksan is a prominent mountain in the Seoul metropolitan area of South Korea, known for its hiking trails, rocky peaks, and scenic views over the surrounding cities.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a509c2448190b0deb7ed29c3a73f |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f01a13550081909a26f57b30d68e03 |
completed | April 28, 2026, 2:23 a.m. |
Created at: April 8, 2026, 9:41 p.m.