Triple
T8525469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nam-gu |
E201803
|
entity |
| Predicate | hasRomanization |
P2508
|
FINISHED |
| Object | Nam-gu, Ulsan |
E605538
|
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: Nam-gu, Ulsan | Statement: [Nam-gu, hasRomanization, Nam-gu, Ulsan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nam-gu, Ulsan Context triple: [Nam-gu, hasRomanization, Nam-gu, Ulsan]
-
A.
Nam-gu, Ulsan
chosen
Nam-gu, Ulsan is a coastal district in the metropolitan city of Ulsan, South Korea, known for its industrial facilities and maritime heritage.
-
B.
Nam-gu, Busan
Nam-gu, Busan is a coastal district in the south-central part of Busan, South Korea, known for its residential neighborhoods, universities, and views over the city and harbor.
-
C.
Buk-gu, Ulsan
Buk-gu, Ulsan is a northern district of the metropolitan city of Ulsan in South Korea, known for its mix of residential areas, industrial facilities, and coastal landscapes.
-
D.
Ulju-gun, Ulsan
Ulju-gun, Ulsan is a largely rural county-level district of the metropolitan city of Ulsan in South Korea, known for its coastal scenery, mountains, and industrial complexes.
-
E.
Jung-gu, Ulsan
Jung-gu, Ulsan is a central district of the metropolitan city of Ulsan in South Korea, known for its administrative, commercial, and residential functions.
- 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_69ca83228b24819085d22e7dc99f5d94 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe644c4648190a14dcaeaa90d72c7 |
completed | March 31, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebb6855ec8190a85e5afeb656ee7d |
completed | April 2, 2026, 6:54 p.m. |
Created at: March 30, 2026, 6:16 p.m.