Triple
T15015700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleaford railway station |
E377953
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
SLR
SLR is the National Rail station code for Sleaford railway station in Lincolnshire, England.
|
E1131328
|
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: [Sleaford railway station, hasStationCode, SLR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SLR Context triple: [Sleaford railway station, hasStationCode, SLR]
-
A.
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.
-
B.
SLR
SLR is the common abbreviation for the L1A1 Self-Loading Rifle, a widely used British semi-automatic battle rifle derived from the FN FAL.
-
C.
SLR
SLR (Satellite Laser Ranging) is a geodetic technique that measures the distance to satellites using laser pulses to precisely determine Earth’s shape, rotation, and reference frames.
-
D.
SL R
SL R is a Finnish post-nominal abbreviation indicating that its holder has been awarded a rank in the Order of the Lion of Finland.
-
E.
SL1
SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
- 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: [Sleaford railway station, hasStationCode, SLR]
Generated description
SLR is the National Rail station code for Sleaford railway station in Lincolnshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SLR Target entity description: SLR is the National Rail station code for Sleaford railway station in Lincolnshire, England.
-
A.
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.
-
B.
SLR
SLR is the common abbreviation for the L1A1 Self-Loading Rifle, a widely used British semi-automatic battle rifle derived from the FN FAL.
-
C.
SLR
SLR (Satellite Laser Ranging) is a geodetic technique that measures the distance to satellites using laser pulses to precisely determine Earth’s shape, rotation, and reference frames.
-
D.
SL R
SL R is a Finnish post-nominal abbreviation indicating that its holder has been awarded a rank in the Order of the Lion of Finland.
-
E.
SL1
SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7623c3c819092ca36b358b01842 |
completed | April 15, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe96ae110c8190a0555590b9ddb36a |
completed | May 9, 2026, 2:06 a.m. |
| NEDg | Description generation | batch_69fe97c0a3688190a9f55376a1d7ad87 |
completed | May 9, 2026, 2:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe985cec608190888733cdc5bd71ea |
completed | May 9, 2026, 2:13 a.m. |
Created at: April 10, 2026, 2:55 a.m.