Triple
T13772257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coverdale |
E330908
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Melmerby
Melmerby is a small rural village located in the Coverdale area of the Yorkshire Dales in North Yorkshire, England.
|
E1059282
|
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: Melmerby | Statement: [Coverdale, hasSettlement, Melmerby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melmerby Context triple: [Coverdale, hasSettlement, Melmerby]
-
A.
Mjölby
Mjölby is a small Swedish town known for its agricultural surroundings and location in the southern part of Östergötland County.
-
B.
Ljungby
Ljungby is a small Swedish town in southern Småland known for its lakeside surroundings, forestry-based economy, and role as a local commercial and cultural center.
-
C.
Ronneby
Ronneby is a historic town in southern Sweden known for its well-preserved wooden architecture, spa traditions, and scenic location in Blekinge County.
-
D.
Hörby
Hörby is a small municipality in southern Sweden’s Skåne County, known for its rural landscape and traditional Swedish town character.
-
E.
Vårby
Vårby is a suburban district in the southern Stockholm area of Sweden, known for its residential neighborhoods and proximity to Lake Mälaren.
- 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: Melmerby Triple: [Coverdale, hasSettlement, Melmerby]
Generated description
Melmerby is a small rural village located in the Coverdale area of the Yorkshire Dales in North Yorkshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Melmerby Target entity description: Melmerby is a small rural village located in the Coverdale area of the Yorkshire Dales in North Yorkshire, England.
-
A.
Mjölby
Mjölby is a small Swedish town known for its agricultural surroundings and location in the southern part of Östergötland County.
-
B.
Ljungby
Ljungby is a small Swedish town in southern Småland known for its lakeside surroundings, forestry-based economy, and role as a local commercial and cultural center.
-
C.
Ronneby
Ronneby is a historic town in southern Sweden known for its well-preserved wooden architecture, spa traditions, and scenic location in Blekinge County.
-
D.
Hörby
Hörby is a small municipality in southern Sweden’s Skåne County, known for its rural landscape and traditional Swedish town character.
-
E.
Vårby
Vårby is a suburban district in the southern Stockholm area of Sweden, known for its residential neighborhoods and proximity to Lake Mälaren.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0235aea881909ab4c721db081b00 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a86907cc8190a6a6b475d08f0dc7 |
completed | May 3, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69f7a968c3508190b1a86accb71b34cf |
completed | May 3, 2026, 8 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7aa32b8c8819088bbc9e478c21c06 |
completed | May 3, 2026, 8:04 p.m. |
Created at: April 9, 2026, 10:10 p.m.