Triple
T18383218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beijing Subway Line 16 |
E446508
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Lianhuaqiao Station |
—
|
NE NERFINISHED |
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: Lianhuaqiao Station | Statement: [Beijing Subway Line 16, hasStation, Lianhuaqiao Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lianhuaqiao Station Context triple: [Beijing Subway Line 16, hasStation, Lianhuaqiao Station]
-
A.
Lianhuaqiao station
chosen
Lianhuaqiao station is a Beijing Subway interchange station serving the western part of the city near the Lianhua Bridge area.
-
B.
Lianglukou Station
Lianglukou Station is a major interchange station on the Chongqing Metro system in Chongqing, China, serving as a key hub for urban rail transit.
-
C.
Huilongguan station
Huilongguan station is a subway station in Beijing’s Changping District that serves the large Huilongguan residential area as part of the city’s urban rail network.
-
D.
Baliqiao Station
Baliqiao Station is a stop on Beijing’s Batong Line, serving passengers in the eastern part of the city’s subway network.
-
E.
Lianhua Road Station
Lianhua Road Station is a Shanghai Metro station serving the Minhang District as part of the city’s rapid transit network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5179c931c8190b1c7c8284f42f7b7 |
completed | April 19, 2026, 5:57 p.m. |
Created at: April 10, 2026, 10:45 a.m.