Triple
T11916322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mossley railway station |
E283531
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
MSL
MSL is the three-letter National Rail station code assigned to Mossley railway station in Greater Manchester, England.
|
E954397
|
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: MSL | Statement: [Mossley railway station, stationCode, MSL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MSL Context triple: [Mossley railway station, stationCode, MSL]
-
A.
MSL
MSL is a NASA mission featuring the Curiosity rover, designed to explore Mars’ surface and assess its past and present habitability.
-
B.
MSL-1
MSL-1 is the abbreviated designation for a Space Shuttle microgravity science mission focused on materials and fluid physics experiments in low Earth orbit.
-
C.
MARS
MARS is a prominent benchmark suite used in computer architecture and systems research, often serving as a standard workload for evaluating and comparing processor and memory system performance.
-
D.
Mathesar
Mathesar is the naive yet earnest Thermian leader in the sci-fi comedy film "Galaxy Quest," whose unwavering faith in the show's fictional heroes drives much of the movie's plot and humor.
-
E.
SLS
SLS is a Finnish scholarly society dedicated to the preservation, research, and promotion of Swedish-language literature and cultural heritage in Finland.
- 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: MSL Triple: [Mossley railway station, stationCode, MSL]
Generated description
MSL is the three-letter National Rail station code assigned to Mossley railway station in Greater Manchester, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MSL Target entity description: MSL is the three-letter National Rail station code assigned to Mossley railway station in Greater Manchester, England.
-
A.
MSL
MSL is a NASA mission featuring the Curiosity rover, designed to explore Mars’ surface and assess its past and present habitability.
-
B.
MSL-1
MSL-1 is the abbreviated designation for a Space Shuttle microgravity science mission focused on materials and fluid physics experiments in low Earth orbit.
-
C.
MARS
MARS is a prominent benchmark suite used in computer architecture and systems research, often serving as a standard workload for evaluating and comparing processor and memory system performance.
-
D.
Mathesar
Mathesar is the naive yet earnest Thermian leader in the sci-fi comedy film "Galaxy Quest," whose unwavering faith in the show's fictional heroes drives much of the movie's plot and humor.
-
E.
SLS
SLS is a Finnish scholarly society dedicated to the preservation, research, and promotion of Swedish-language literature and cultural heritage in Finland.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e8deb14881909b65a1f159aec65f |
completed | April 10, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f44014e1d08190ac7425f375ca023f |
completed | May 1, 2026, 5:54 a.m. |
| NEDg | Description generation | batch_69f448fa8eec81909fe6ac0902f46998 |
completed | May 1, 2026, 6:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f44aef15148190ba8090681b921ffa |
completed | May 1, 2026, 6:40 a.m. |
Created at: April 8, 2026, 9:44 p.m.