Triple
T14021959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Warlingham railway station |
E337355
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
UWL
UWL is the National Rail station code for Upper Warlingham railway station in Surrey, England.
|
E1075856
|
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: UWL | Statement: [Upper Warlingham railway station, stationCode, UWL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UWL Context triple: [Upper Warlingham railway station, stationCode, UWL]
-
A.
UWEC
UWEC is Uganda’s national wildlife education and conservation center, known for rescuing, rehabilitating, and exhibiting native animals while promoting public awareness and environmental education.
-
B.
UWSP
UWSP is a public university in Stevens Point, Wisconsin, known for its strong programs in natural resources, education, and the arts within the University of Wisconsin System.
-
C.
UW
UW is a leading Canadian public research university known for its strong engineering, computer science, and co-operative education programs.
-
D.
UW
UW is a common abbreviation for the University of Wisconsin, whose athletic teams are known as the Wisconsin Badgers.
-
E.
UW
UW is the University of Wyoming, a public land-grant research university located in Laramie, Wyoming.
- 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: UWL Triple: [Upper Warlingham railway station, stationCode, UWL]
Generated description
UWL is the National Rail station code for Upper Warlingham railway station in Surrey, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UWL Target entity description: UWL is the National Rail station code for Upper Warlingham railway station in Surrey, England.
-
A.
UWEC
UWEC is Uganda’s national wildlife education and conservation center, known for rescuing, rehabilitating, and exhibiting native animals while promoting public awareness and environmental education.
-
B.
UWSP
UWSP is a public university in Stevens Point, Wisconsin, known for its strong programs in natural resources, education, and the arts within the University of Wisconsin System.
-
C.
UW
UW is a leading Canadian public research university known for its strong engineering, computer science, and co-operative education programs.
-
D.
UW
UW is a common abbreviation for the University of Wisconsin, whose athletic teams are known as the Wisconsin Badgers.
-
E.
UW
UW is the University of Wyoming, a public land-grant research university located in Laramie, Wyoming.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f3d87b88190b038d334f4965369 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc32f78dc8190bd357d179cbaa5bc |
completed | May 6, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69fc43c344c08190b5afa023f5009cb4 |
completed | May 7, 2026, 7:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fc444a30a48190a2f65afcd5424d14 |
completed | May 7, 2026, 7:50 a.m. |
Created at: April 9, 2026, 10:19 p.m.