Triple
T12417035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malvern Link railway station |
E296662
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
MVL
MVL is the three-letter National Rail station code for Malvern Link railway station in Worcestershire, England.
|
E980951
|
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: MVL | Statement: [Malvern Link railway station, stationCode, MVL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MVL Context triple: [Malvern Link railway station, stationCode, MVL]
-
A.
MVL
MVL is the abbreviation for the Man Vehicle Laboratory, a research lab focused on human factors and human–machine interaction in aerospace and related fields.
-
B.
MVE
MVE is the station code for Mount Vernon East, a Metro-North Railroad commuter rail station in Mount Vernon, New York.
-
C.
MVLA
MVLA is a public high school district serving the communities of Mountain View and Los Altos in California’s Silicon Valley.
-
D.
MVU
MVU (Model-View-Update) is an architectural pattern for building user interfaces that emphasizes a unidirectional data flow, immutable state, and a clear separation between state, view rendering, and update logic.
-
E.
MVO
MVO is a post-nominal honorific indicating appointment as a Member of the Royal Victorian Order, a dynastic order of knighthood recognizing distinguished personal service to the British monarch.
- 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: MVL Triple: [Malvern Link railway station, stationCode, MVL]
Generated description
MVL is the three-letter National Rail station code for Malvern Link railway station in Worcestershire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MVL Target entity description: MVL is the three-letter National Rail station code for Malvern Link railway station in Worcestershire, England.
-
A.
MVL
MVL is the abbreviation for the Man Vehicle Laboratory, a research lab focused on human factors and human–machine interaction in aerospace and related fields.
-
B.
MVE
MVE is the station code for Mount Vernon East, a Metro-North Railroad commuter rail station in Mount Vernon, New York.
-
C.
MVLA
MVLA is a public high school district serving the communities of Mountain View and Los Altos in California’s Silicon Valley.
-
D.
MVU
MVU (Model-View-Update) is an architectural pattern for building user interfaces that emphasizes a unidirectional data flow, immutable state, and a clear separation between state, view rendering, and update logic.
-
E.
MVO
MVO is a post-nominal honorific indicating appointment as a Member of the Royal Victorian Order, a dynastic order of knighthood recognizing distinguished personal service to the British monarch.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d6de5808190b2116b0b491c40b5 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f634915940819092665f1f35aa823d |
completed | May 2, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69f635997b088190b6207fcac5594eb2 |
completed | May 2, 2026, 5:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f636d727a08190882eec3fd664b64d |
completed | May 2, 2026, 5:39 p.m. |
Created at: April 8, 2026, 9:55 p.m.