Triple
T13916116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 5 (Beijing Subway) |
E334623
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Lishuiqiao station |
E423132
|
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: Lishuiqiao station | Statement: [Line 5 (Beijing Subway), hasStation, Lishuiqiao station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lishuiqiao station Context triple: [Line 5 (Beijing Subway), hasStation, Lishuiqiao station]
-
A.
Lishuiqiao station
chosen
Lishuiqiao station is a Beijing Subway interchange station in northern Beijing that connects Line 13 with other urban rail lines and serves nearby residential and commercial areas.
-
B.
Liuliqiao station
Liuliqiao station is a Beijing Subway interchange station serving Line 9 and other lines in the southwestern part of the city.
-
C.
Gongyixiqiao station
Gongyixiqiao station is a Beijing Subway station serving the southern part of the city on Line 4.
-
D.
Shuangqiao Station
Shuangqiao Station is a subway station in Beijing, China, serving as one of the stops on the city's urban rail transit network.
-
E.
Wujiaochang station
Wujiaochang station is a Shanghai Metro station serving the busy Wujiaochang commercial and university district in Yangpu District.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de27260ae08190be45b4b15898e365 |
completed | April 14, 2026, 11:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3643a23481909103166abb6aaa4e |
completed | May 9, 2026, 1:27 p.m. |
Created at: April 9, 2026, 10:16 p.m.