Triple
T6650806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weiwuying (military camp) |
E150813
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Kaohsiung city center |
E151217
|
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: Kaohsiung city center | Statement: [Weiwuying (military camp), locatedNear, Kaohsiung city center]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaohsiung city center Context triple: [Weiwuying (military camp), locatedNear, Kaohsiung city center]
-
A.
Kaohsiung
chosen
Kaohsiung is a major port city in southern Taiwan known for its heavy industry, modern harborfront, and growing cultural and arts scene.
-
B.
Taipei, Taiwan
Taipei, Taiwan is the capital and largest city of Taiwan, known as a major political, economic, and cultural center in East Asia.
-
C.
Tainan
Tainan is a historic city in southern Taiwan known for its well-preserved temples, traditional culture, and status as the island’s former capital.
-
D.
Port of Kaohsiung
The Port of Kaohsiung is Taiwan’s largest and busiest seaport, serving as a major international hub for container shipping and maritime trade in East Asia.
-
E.
Jiufen
Jiufen is a historic hillside town in northern Taiwan famed for its narrow lantern-lit streets, teahouses, and scenic views over the Pacific Ocean.
- 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_69c687f2c9508190a60b9aad31d3f358 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b04408508190a87a669b32364368 |
completed | March 27, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c77521651c8190aa10d3a7302e2a63 |
completed | March 28, 2026, 6:28 a.m. |
Created at: March 27, 2026, 2:01 p.m.