Triple
T3235315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Lawrence and Atlantic Railroad |
E67839
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
SLR
SLR is the reporting mark and common abbreviation for the St. Lawrence and Atlantic Railroad, a regional freight railroad operating in the northeastern United States and Canada.
|
E339558
|
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: SLR | Statement: [St. Lawrence and Atlantic Railroad, hasAbbreviation, SLR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SLR Context triple: [St. Lawrence and Atlantic Railroad, hasAbbreviation, SLR]
-
A.
SL1
SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
-
B.
SL
SL is the public transport authority and brand responsible for operating and coordinating the mass transit system in the Stockholm region of Sweden.
-
C.
SL
SL is a UK postcode area covering Slough and surrounding parts of Berkshire and nearby counties.
-
D.
SL
SL is a German vehicle registration code used on license plates to identify cars registered in the Saalekreis district of Saxony-Anhalt.
-
E.
SL
The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
- 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: SLR Triple: [St. Lawrence and Atlantic Railroad, hasAbbreviation, SLR]
Generated description
SLR is the reporting mark and common abbreviation for the St. Lawrence and Atlantic Railroad, a regional freight railroad operating in the northeastern United States and Canada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SLR Target entity description: SLR is the reporting mark and common abbreviation for the St. Lawrence and Atlantic Railroad, a regional freight railroad operating in the northeastern United States and Canada.
-
A.
SL1
SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
-
B.
SL
SL is the public transport authority and brand responsible for operating and coordinating the mass transit system in the Stockholm region of Sweden.
-
C.
SL
SL is a UK postcode area covering Slough and surrounding parts of Berkshire and nearby counties.
-
D.
SL
SL is a German vehicle registration code used on license plates to identify cars registered in the Saalekreis district of Saxony-Anhalt.
-
E.
SL
The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
- 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaede0bdc8190a466f11bf2c50836 |
completed | March 8, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b277404f6c8190803cf67cc8423430 |
completed | March 12, 2026, 8:20 a.m. |
| NEDg | Description generation | batch_69b27846372c8190a5c96158bf2a5ff2 |
completed | March 12, 2026, 8:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2791ac4a08190a1cee3cfbca6e6d6 |
completed | March 12, 2026, 8:28 a.m. |
Created at: March 8, 2026, 3:08 p.m.