Triple
T16535383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suwon |
E401676
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Suwon City Hall |
E1127823
|
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: Suwon City Hall | Statement: [Suwon, hasLandmark, Suwon City Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suwon City Hall Context triple: [Suwon, hasLandmark, Suwon City Hall]
-
A.
Suwon City Hall
chosen
Suwon City Hall is the main municipal government building and administrative center serving the city of Suwon in South Korea.
-
B.
Ulsan City Hall
Ulsan City Hall is the main municipal government building and administrative center serving the city of Ulsan, South Korea.
-
C.
Incheon City Hall
Incheon City Hall is the main administrative and governmental headquarters of the metropolitan city of Incheon, South Korea.
-
D.
Busan Metropolitan City Hall
Busan Metropolitan City Hall is the main administrative headquarters of the Busan metropolitan government in South Korea.
-
E.
Daejeon City Hall
Daejeon City Hall is the main municipal government complex of Daejeon, South Korea, housing the city’s administrative offices and executive leadership.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e345574d88819094548367bf983078 |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006094dee481908757b84c10d0dc19 |
completed | May 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 5:15 a.m.