Triple
T17458711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bessarion station |
E425096
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
BSRN
BSRN is the station code for Bessarion, a subway station on Line 4 Sheppard of the Toronto Transit Commission in Toronto, Canada.
|
E1270630
|
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: BSRN | Statement: [Bessarion station, hasStationCode, BSRN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BSRN Context triple: [Bessarion station, hasStationCode, BSRN]
-
A.
BSR
BSR is the abbreviated name for Germany’s Federal Security Council, the federal government body responsible for coordinating national security and arms export policy.
-
B.
BSR
BSR is the National Rail station code for Broadstairs railway station in Kent, England.
-
C.
BSR
BSR is the railway station code for Vasai Road, a major suburban and junction station in the Mumbai railway network.
-
D.
BRN
BRN is the station code for Bornova railway station in İzmir, Turkey.
-
E.
BRN
BRN is the IATA airport code for Bern Airport, the primary airport serving Switzerland’s capital 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: BSRN Triple: [Bessarion station, hasStationCode, BSRN]
Generated description
BSRN is the station code for Bessarion, a subway station on Line 4 Sheppard of the Toronto Transit Commission in Toronto, Canada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BSRN Target entity description: BSRN is the station code for Bessarion, a subway station on Line 4 Sheppard of the Toronto Transit Commission in Toronto, Canada.
-
A.
BSR
BSR is the abbreviated name for Germany’s Federal Security Council, the federal government body responsible for coordinating national security and arms export policy.
-
B.
BSR
BSR is the National Rail station code for Broadstairs railway station in Kent, England.
-
C.
BSR
BSR is the railway station code for Vasai Road, a major suburban and junction station in the Mumbai railway network.
-
D.
BRN
BRN is the station code for Bornova railway station in İzmir, Turkey.
-
E.
BRN
BRN is the IATA airport code for Bern Airport, the primary airport serving Switzerland’s capital 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4514385e48190b97a257bb3d07d2d |
completed | April 19, 2026, 3:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01b820024c8190bd8f083b426f82f5 |
completed | May 11, 2026, 11:06 a.m. |
| NEDg | Description generation | batch_6a01b90e68d08190be86aee8d6692ce1 |
completed | May 11, 2026, 11:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01b993324081908b561700bbeac11c |
completed | May 11, 2026, 11:12 a.m. |
Created at: April 10, 2026, 5:47 a.m.