Triple
T8862890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanghai Metro Line 13 |
E210935
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Madang Road station |
E782733
|
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: Madang Road station | Statement: [Shanghai Metro Line 13, hasStation, Madang Road station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madang Road station Context triple: [Shanghai Metro Line 13, hasStation, Madang Road station]
-
A.
Madang Road station
chosen
Madang Road station is a Shanghai Metro interchange station in the Huangpu District, serving as a stop on Line 13 and connecting with other central urban routes.
-
B.
Keyi Road station
Keyi Road station is a subway stop on Beijing's extensive metro network serving passengers in the city's urban area.
-
C.
Caobao Road station
Caobao Road station is a metro station in Shanghai, China, serving passengers on the city's Line 1 rapid transit route.
-
D.
Ximen Station
Ximen Station is a major Taipei Metro interchange station in the Ximending shopping and entertainment district of Taipei, Taiwan.
-
E.
Dahuasan Road station
Dahuasan Road station is a metro station on the Shanghai Metro network serving passengers along Line 7 in Shanghai, 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc610263048190931bb2c3ac573a08 |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05be377988190a59f0033322d627f |
completed | April 4, 2026, 12:31 a.m. |
Created at: March 30, 2026, 6:50 p.m.