Triple
T8663910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 13 (Shanghai Metro) |
E205615
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Lupu Bridge station
Lupu Bridge station is a Shanghai Metro station on Line 13 located near the Lupu Bridge in the city’s central area.
|
E758545
|
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: Lupu Bridge station | Statement: [Line 13 (Shanghai Metro), hasStation, Lupu Bridge station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lupu Bridge station Context triple: [Line 13 (Shanghai Metro), hasStation, Lupu Bridge station]
-
A.
White Stone Bridge South station
White Stone Bridge South station is a subway station in Beijing, China, serving passengers on the city's Line 9.
-
B.
Bataizi Station
Bataizi Station is a metro station on Beijing's Batong Line serving passengers in the eastern suburbs of the city.
-
C.
Puhung Station
Puhung Station is one of the main stations of the Pyongyang Metro in North Korea, noted for its grand, ornate Soviet-style architecture and murals.
-
D.
Chonu Station
Chonu Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
-
E.
Nopo Station
Nopo Station is a major subway and bus terminal in Busan, South Korea, serving as a key transportation hub for the northeastern part of the city.
- 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: Lupu Bridge station Triple: [Line 13 (Shanghai Metro), hasStation, Lupu Bridge station]
Generated description
Lupu Bridge station is a Shanghai Metro station on Line 13 located near the Lupu Bridge in the city’s central area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lupu Bridge station Target entity description: Lupu Bridge station is a Shanghai Metro station on Line 13 located near the Lupu Bridge in the city’s central area.
-
A.
White Stone Bridge South station
White Stone Bridge South station is a subway station in Beijing, China, serving passengers on the city's Line 9.
-
B.
Bataizi Station
Bataizi Station is a metro station on Beijing's Batong Line serving passengers in the eastern suburbs of the city.
-
C.
Puhung Station
Puhung Station is one of the main stations of the Pyongyang Metro in North Korea, noted for its grand, ornate Soviet-style architecture and murals.
-
D.
Chonu Station
Chonu Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
-
E.
Nopo Station
Nopo Station is a major subway and bus terminal in Busan, South Korea, serving as a key transportation hub for the northeastern part of the city.
- 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_69ca83516ae88190aefe034b3bc589e3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc489f7edc8190bde1b4dc09249207 |
completed | March 31, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6ed1e0548190b02d43c5d7e65e08 |
completed | April 3, 2026, 7:40 a.m. |
| NEDg | Description generation | batch_69cf7101b0088190843affad2474eb32 |
completed | April 3, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf725ebb4c8190be3b19e9c5e854ac |
completed | April 3, 2026, 7:55 a.m. |
Created at: March 30, 2026, 6:30 p.m.