Triple
T20669804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gyeongsang Province |
E507988
|
entity |
| Predicate | containsPortCity |
P2745
|
FINISHED |
| Object | Masan |
—
|
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: Masan | Statement: [Gyeongsang Province, containsPortCity, Masan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Masan Context triple: [Gyeongsang Province, containsPortCity, Masan]
-
A.
Masan
chosen
Masan is a city in South Korea that serves as a regional administrative and judicial center, hosting a seat of the country's district courts.
-
B.
Nanjo
Nanjo is a coastal city in southern Okinawa, Japan, known for its scenic landscapes, historic sites, and role as part of the greater Naha metropolitan area.
-
C.
Minamibōsō
Minamibōsō is a coastal city in Chiba Prefecture, Japan, known for its scenic Pacific shoreline, mild climate, and agricultural and fishing industries.
-
D.
Naha City
Naha City is the capital of Okinawa Prefecture in Japan, known for its rich Ryukyuan cultural heritage, historic sites, and vibrant urban center.
-
E.
Nago
Nago is a coastal city in northern Okinawa, Japan, known for its beaches, subtropical climate, and role as a regional commercial and cultural center.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5c735048190a01cb7692928d66e |
completed | April 20, 2026, 11:24 p.m. |
Created at: April 16, 2026, 11:44 a.m.