Triple
T6650951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaohsiung MRT Orange Line |
E150818
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Sizihwan Station |
E614166
|
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: Sizihwan Station | Statement: [Kaohsiung MRT Orange Line, hasStation, Sizihwan Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sizihwan Station Context triple: [Kaohsiung MRT Orange Line, hasStation, Sizihwan Station]
-
A.
Sizihwan Station
chosen
Sizihwan Station is a metro station in Kaohsiung, Taiwan, serving the scenic Sizihwan and Hamasen waterfront area near National Sun Yat-sen University.
-
B.
Bang Wa Station
Bang Wa Station is a major Bangkok Mass Transit System (BTS) Skytrain terminal and interchange in western Bangkok, serving as a key transit hub connecting the city’s rail and bus networks.
-
C.
Puhung Station
Puhung Station is one of the main stations of the Pyongyang Metro in North Korea, noted for its grand, ornate Soviet-style architecture and murals.
-
D.
Sajik Station
Sajik Station is a subway station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
-
E.
Chonu Station
Chonu Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
- 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_69c6b0458fb48190a76d8d1d6273a92b |
completed | March 27, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70aecac7c8190856b9ae9f042546b |
completed | March 27, 2026, 10:55 p.m. |
Created at: March 27, 2026, 2:01 p.m.