Triple
T13916121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 5 (Beijing Subway) |
E334623
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Ciqikou station |
E445613
|
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: Ciqikou station | Statement: [Line 5 (Beijing Subway), hasStation, Ciqikou station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ciqikou station Context triple: [Line 5 (Beijing Subway), hasStation, Ciqikou station]
-
A.
Ciqikou station
chosen
Ciqikou station is a subway station in Beijing that serves passengers on the city's Line 5 metro route.
-
B.
Jiaochangkou Station
Jiaochangkou Station is an underground metro station in central Chongqing, China, serving as part of the city's Chongqing Rail Transit network.
-
C.
Chongqing Xi Railway Station
Chongqing Xi Railway Station is a major high-speed rail hub serving the Chongqing municipality in southwestern China.
-
D.
Chongqing North Railway Station
Chongqing North Railway Station is a major passenger rail hub in Chongqing, China, serving high-speed and conventional trains and connecting the city with destinations across the country.
-
E.
Ximenkou station
Ximenkou station is an underground metro station on the Guangzhou Metro system, located near the historic Ximenkou area in central Guangzhou, China.
- 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_69ff453c189c8190ac73204b7ac68dda |
completed | May 9, 2026, 2:31 p.m. |
Created at: April 9, 2026, 10:16 p.m.