Triple
T3545356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiananmen West station |
E74982
|
entity |
| Predicate | adjacentStationOnLine1 |
P5707
|
FINISHED |
| Object | Xidan station |
E69578
|
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: Xidan station | Statement: [Tiananmen West station, adjacentStationOnLine1, Xidan station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xidan station Context triple: [Tiananmen West station, adjacentStationOnLine1, Xidan station]
-
A.
Xidan station
chosen
Xidan station is a major interchange stop on the Beijing Subway serving the busy commercial and shopping district of Xidan in central Beijing.
-
B.
Jishuitan station
Jishuitan station is a subway station in Beijing that serves the busy Line 2 loop near the city’s northern central area.
-
C.
Xicun Station
Xicun Station is a metro station in Guangzhou, China, serving passengers on the Guangzhou Metro network.
-
D.
Shin-Okubo Station
Shin-Okubo Station is a busy railway station in Tokyo’s Shinjuku ward, known for serving the city’s Koreatown area and providing convenient access to central Tokyo.
-
E.
Komagome Station
Komagome Station is a railway station in Tokyo, Japan, served by JR East and the Tokyo Metro, providing access to the residential and commercial areas of the Komagome 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_69ad85d274cc8190ab59c97298a1cfbf |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbf77d938819095c72a88b5af644a |
completed | March 8, 2026, 6:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b48823ca248190a34d2d0eb3a496a7 |
completed | March 13, 2026, 9:56 p.m. |
Created at: March 8, 2026, 3:20 p.m.