Triple
T7384719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanjing Metro |
E170351
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object |
S3 Line
The S3 Line is a rapid transit route within the Nanjing Metro system in Nanjing, China.
|
E660754
|
NE FINISHED |
How this triple was built (4 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: S3 Line | Statement: [Nanjing Metro, hasLine, S3 Line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S3 Line Context triple: [Nanjing Metro, hasLine, S3 Line]
-
A.
S3 line
The S3 line is a route of the Berlin S-Bahn urban rail network that connects various districts across the city and serves stations such as Berlin Grunewald.
-
B.
S3 line
The S3 line is a commuter rail service within the Zürich S-Bahn network that connects Zürich with its surrounding suburbs and regional destinations.
-
C.
S3 line
The S3 line is a route of the Rhine-Main S-Bahn network serving the Frankfurt metropolitan area in Germany.
-
D.
3 Line
The 3 Line is a New York City Subway service that runs on the IRT Eastern Parkway and Lenox Avenue lines, connecting Brooklyn with Manhattan and the Bronx.
-
E.
Line 3
Line 3 is a major rapid transit route of the STC Metro system, serving key districts along its corridor.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: S3 Line Triple: [Nanjing Metro, hasLine, S3 Line]
Generated description
The S3 Line is a rapid transit route within the Nanjing Metro system in Nanjing, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: S3 Line Target entity description: The S3 Line is a rapid transit route within the Nanjing Metro system in Nanjing, China.
-
A.
S3 line
The S3 line is a commuter rail service within the Zürich S-Bahn network that connects Zürich with its surrounding suburbs and regional destinations.
-
B.
S3 line
The S3 line is a route of the Berlin S-Bahn urban rail network that connects various districts across the city and serves stations such as Berlin Grunewald.
-
C.
S3 line
The S3 line is a route of the Rhine-Main S-Bahn network serving the Frankfurt metropolitan area in Germany.
-
D.
3 Line
The 3 Line is a New York City Subway service that runs on the IRT Eastern Parkway and Lenox Avenue lines, connecting Brooklyn with Manhattan and the Bronx.
-
E.
Line 3
Line 3 is one of the main lines of the Barcelona Metro system, running through central parts of the city and connecting several key stations and neighborhoods.
- F. None of above. chosen
Provenance (5 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_69c68a5d0ed08190b6d361e68f813330 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1efe1308190b96eefbff56140be |
completed | March 27, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802e23714819094a1b31c82a27fee |
completed | March 28, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_69c8038127408190947cb7002ccc0dec |
completed | March 28, 2026, 4:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8040a40088190b37192429678fd3e |
completed | March 28, 2026, 4:38 p.m. |
Created at: March 27, 2026, 3:08 p.m.