Triple
T4958213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cwmbran railway station |
E111338
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
CWM
CWM is the National Rail station code for Cwmbran railway station in Torfaen, Wales.
|
E483095
|
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: CWM | Statement: [Cwmbran railway station, hasStationCode, CWM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CWM Context triple: [Cwmbran railway station, hasStationCode, CWM]
-
A.
cwm
cwm is a lightweight, keyboard-centric stacking window manager for X11, known for its simplicity and inclusion as the default in OpenBSD.
-
B.
CUWMA
CUWMA is an academic organization or department associated with George Washington University, likely focused on a specialized area of research or study.
-
C.
CWA
CWA is a major U.S. environmental law that regulates the discharge of pollutants into the nation’s waters and sets water quality standards.
-
D.
CSM
CSM is a renowned London art and design college known for its influential fashion, fine art, and creative industries programs.
-
E.
CMC
CMC is the commonly used abbreviation for the Commandant of the United States Marine Corps, the service’s highest-ranking officer and senior military leader.
- 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: CWM Triple: [Cwmbran railway station, hasStationCode, CWM]
Generated description
CWM is the National Rail station code for Cwmbran railway station in Torfaen, Wales.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CWM Target entity description: CWM is the National Rail station code for Cwmbran railway station in Torfaen, Wales.
-
A.
cwm
cwm is a lightweight, keyboard-centric stacking window manager for X11, known for its simplicity and inclusion as the default in OpenBSD.
-
B.
CUWMA
CUWMA is an academic organization or department associated with George Washington University, likely focused on a specialized area of research or study.
-
C.
CWA
CWA is a major U.S. environmental law that regulates the discharge of pollutants into the nation’s waters and sets water quality standards.
-
D.
CSM
CSM is a renowned London art and design college known for its influential fashion, fine art, and creative industries programs.
-
E.
CMC
CMC is the commonly used abbreviation for the Commandant of the United States Marine Corps, the service’s highest-ranking officer and senior military leader.
- 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_69bd4418390c8190b7e9766a2512ce55 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71d834c0819087f3faafdc9b4228 |
completed | March 20, 2026, 4:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81e144a08190b66bf07e09b6ff55 |
completed | March 21, 2026, 11:32 a.m. |
| NEDg | Description generation | batch_69be83b10e048190889289ac2ca9f07f |
completed | March 21, 2026, 11:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be843e2e50819099b2b73498c7c16e |
completed | March 21, 2026, 11:42 a.m. |
Created at: March 20, 2026, 1:32 p.m.