Triple
T11838632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sha Tin |
E281588
|
entity |
| Predicate | hasTransport |
P1298
|
FINISHED |
| Object |
Fo Tan station
Fo Tan station is a Mass Transit Railway (MTR) station in the Sha Tin District of Hong Kong, serving the Fo Tan area on the East Rail line.
|
E950415
|
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: Fo Tan station | Statement: [Sha Tin, hasTransport, Fo Tan station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fo Tan station Context triple: [Sha Tin, hasTransport, Fo Tan station]
-
A.
Limon Station
Limon Station was a railroad station whose presence and significance led to the nearby Colorado town of Limon being named in its honor.
-
B.
Wabun Station
Wabun Station is a small rural community located within the township of Greater Madawaska in eastern Ontario, Canada.
-
C.
Dal Station
Dal Station is a railway station in Norway that serves as one of the stops along the Hoved Line connecting Oslo with surrounding regions.
-
D.
Montserrat station
Montserrat station is a commuter rail stop in Beverly, Massachusetts, serving MBTA trains on the Rockport Branch of the Newburyport/Rockport Line.
-
E.
Hamar Station
Hamar Station is a railway station in the town of Hamar in Innlandet county, Norway, serving as a regional transport hub on the country’s rail network.
- 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: Fo Tan station Triple: [Sha Tin, hasTransport, Fo Tan station]
Generated description
Fo Tan station is a Mass Transit Railway (MTR) station in the Sha Tin District of Hong Kong, serving the Fo Tan area on the East Rail line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fo Tan station Target entity description: Fo Tan station is a Mass Transit Railway (MTR) station in the Sha Tin District of Hong Kong, serving the Fo Tan area on the East Rail line.
-
A.
Limon Station
Limon Station was a railroad station whose presence and significance led to the nearby Colorado town of Limon being named in its honor.
-
B.
Wabun Station
Wabun Station is a small rural community located within the township of Greater Madawaska in eastern Ontario, Canada.
-
C.
Dal Station
Dal Station is a railway station in Norway that serves as one of the stops along the Hoved Line connecting Oslo with surrounding regions.
-
D.
Montserrat station
Montserrat station is a commuter rail stop in Beverly, Massachusetts, serving MBTA trains on the Rockport Branch of the Newburyport/Rockport Line.
-
E.
Hamar Station
Hamar Station is a railway station in the town of Hamar in Innlandet county, Norway, serving as a regional transport hub on the country’s rail network.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a63106b48190917817ec40d21a49 |
completed | April 10, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f167766c048190b8aaf09732d338d8 |
completed | April 29, 2026, 2:05 a.m. |
| NEDg | Description generation | batch_69f17004fb908190a486c6718c5252cb |
completed | April 29, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f1db11f0f48190832ca4f552f21751 |
completed | April 29, 2026, 10:18 a.m. |
Created at: April 8, 2026, 9:43 p.m.