Triple
T383068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King's Lynn and West Norfolk district |
E8721
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Marham
Marham is a village in Norfolk, England, best known for hosting RAF Marham, a major Royal Air Force station.
|
E49536
|
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: Marham | Statement: [King's Lynn and West Norfolk district, contains, Marham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marham Context triple: [King's Lynn and West Norfolk district, contains, Marham]
-
A.
Shouldham
Shouldham is a small rural village in Norfolk, England, known for its traditional English countryside setting and historic character.
-
B.
Markinch
Markinch is a small historic town in Fife, Scotland, known for its ancient church and role as a local administrative and railway hub.
-
C.
Nasirabad
Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
-
D.
Stonehaven
Stonehaven is a coastal town in Aberdeenshire, Scotland, known for its picturesque harbor, historic Dunnottar Castle nearby, and role as a gateway between the Highlands and Lowlands.
-
E.
Godalming
Godalming is a historic market town in southeast England known for its picturesque streets, riverside setting, and role as a commuter hub for London.
- 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: Marham Triple: [King's Lynn and West Norfolk district, contains, Marham]
Generated description
Marham is a village in Norfolk, England, best known for hosting RAF Marham, a major Royal Air Force station.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marham Target entity description: Marham is a village in Norfolk, England, best known for hosting RAF Marham, a major Royal Air Force station.
-
A.
Shouldham
Shouldham is a small rural village in Norfolk, England, known for its traditional English countryside setting and historic character.
-
B.
Markinch
Markinch is a small historic town in Fife, Scotland, known for its ancient church and role as a local administrative and railway hub.
-
C.
Nasirabad
Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
-
D.
Stonehaven
Stonehaven is a coastal town in Aberdeenshire, Scotland, known for its picturesque harbor, historic Dunnottar Castle nearby, and role as a gateway between the Highlands and Lowlands.
-
E.
Godalming
Godalming is a historic market town in southeast England known for its picturesque streets, riverside setting, and role as a commuter hub for London.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec40ff8c81909306eb2dfe1512af |
completed | Feb. 28, 2026, 1:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4034e9fc88190af3bbd460019c025 |
completed | March 1, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_69a404d4bca08190ab26445f233d5d82 |
completed | March 1, 2026, 9:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4055b48fc81908a2b7fa1725bbdc4 |
completed | March 1, 2026, 9:22 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.