Triple
T14677176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dongsha Islands |
E344675
|
entity |
| Predicate | administeredAsPartOf |
P840
|
FINISHED |
| Object | Cijin District |
E356238
|
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: Cijin District | Statement: [Dongsha Islands, administeredAsPartOf, Cijin District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cijin District Context triple: [Dongsha Islands, administeredAsPartOf, Cijin District]
-
A.
Cijin District
chosen
Cijin District is a coastal district of Kaohsiung, Taiwan, known for its historic port, seafood markets, and popular seaside attractions.
-
B.
Dongnae District
Dongnae District is a historic and central administrative district of Busan, South Korea, known for its hot springs and cultural heritage sites.
-
C.
Busanjin District
Busanjin District is a central urban district of Busan, South Korea, known as a major commercial and transportation hub of the city.
-
D.
Bupyeong District
Bupyeong District is a populous urban district of Incheon, South Korea, known as a major residential, commercial, and transportation hub in the metropolitan area.
-
E.
Busan Jung District
Busan Jung District is a central urban district of Busan, South Korea, known for its historic downtown area, bustling commercial streets, and major shopping and cultural attractions.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb567c2b88190a9639e61b6fba7df |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feadfd53a48190b7efaa4c470da784 |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 1:27 a.m.