Triple
T13824297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 2 (Beijing Subway) |
E332210
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Jishuitan station |
E334787
|
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: Jishuitan station | Statement: [Line 2 (Beijing Subway), hasStation, Jishuitan station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jishuitan station Context triple: [Line 2 (Beijing Subway), hasStation, Jishuitan station]
-
A.
Jishuitan station
chosen
Jishuitan station is a subway station in Beijing that serves the busy Line 2 loop near the city’s northern central area.
-
B.
Caishikou station
Caishikou station is a Beijing Subway interchange station serving central Beijing, known for connecting Line 4 with other key routes near the historic Caishikou area.
-
C.
Pingxifu station
Pingxifu station is a subway station in Beijing, China, serving passengers on the city's Line 8 metro route.
-
D.
Weiwuying Station
Weiwuying Station is an underground metro station in Kaohsiung, Taiwan, serving the Weiwuying area and providing access to the nearby National Kaohsiung Center for the Arts.
-
E.
Jinyintan Station
Jinyintan Station is a metro station in Wuhan, China, serving passengers on the city's Line 2 rapid transit route.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0285fb7c8190be4b90bdc0d6fa53 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc31a91608190a80a69be38ac7f71 |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:13 p.m.