Triple
T6522500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaohsiung |
E151217
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Port of Kaohsiung |
E570963
|
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: Port of Kaohsiung | Statement: [Kaohsiung, hasPort, Port of Kaohsiung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Kaohsiung Context triple: [Kaohsiung, hasPort, Port of Kaohsiung]
-
A.
Port of Kaohsiung
chosen
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.
-
B.
Port of Taipei
The Port of Taipei is a major international seaport in northern Taiwan that serves as a key hub for container shipping and maritime trade.
-
C.
Hualien Port
Hualien Port is a major commercial and tourist seaport on Taiwan’s eastern coast, serving as a key hub for maritime trade and cruise travel in the region.
-
D.
Keelung
Keelung is a major port city in northeastern Taiwan known for its busy harbor, seafood markets, and coastal scenery.
-
E.
Donggang Port
Donggang Port is a major fishing and transportation harbor in southern Taiwan known for its seafood markets and access to nearby offshore islands.
- 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ad95c2c88190b800aaaa73f99210 |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d5204e78819082bf991c2ece09df |
completed | March 27, 2026, 7:06 p.m. |
Created at: March 27, 2026, 1:45 p.m.