Triple
T22592992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charnwood |
E564997
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Cropston
Cropston is a small village in Leicestershire, England, situated near Charnwood Forest and known for its rural character and nearby reservoir.
|
E1544725
|
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: Cropston | Statement: [Charnwood, contains, Cropston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cropston Context triple: [Charnwood, contains, Cropston]
-
A.
Slaughterville
Slaughterville is a small rural town in central Oklahoma, United States, known for its agricultural character and proximity to the city of Norman.
-
B.
Keenesburg
Keenesburg is a small town in northeastern Colorado known for its rural character and proximity to the Denver metropolitan area.
-
C.
Fordsburg
Fordsburg is a historic, culturally diverse suburb of Johannesburg known for its strong Indian and Muslim community, bustling markets, and vibrant street life.
-
D.
Kanesville
Kanesville was the mid-19th-century Mormon settlement that later became the city of Council Bluffs, Iowa.
-
E.
Cridersville
Cridersville is a small village in western Ohio, United States, known as a residential community within the Lima metropolitan area.
- 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: Cropston Triple: [Charnwood, contains, Cropston]
Generated description
Cropston is a small village in Leicestershire, England, situated near Charnwood Forest and known for its rural character and nearby reservoir.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cropston Target entity description: Cropston is a small village in Leicestershire, England, situated near Charnwood Forest and known for its rural character and nearby reservoir.
-
A.
Slaughterville
Slaughterville is a small rural town in central Oklahoma, United States, known for its agricultural character and proximity to the city of Norman.
-
B.
Keenesburg
Keenesburg is a small town in northeastern Colorado known for its rural character and proximity to the Denver metropolitan area.
-
C.
Fordsburg
Fordsburg is a historic, culturally diverse suburb of Johannesburg known for its strong Indian and Muslim community, bustling markets, and vibrant street life.
-
D.
Kanesville
Kanesville was the mid-19th-century Mormon settlement that later became the city of Council Bluffs, Iowa.
-
E.
Cridersville
Cridersville is a small village in western Ohio, United States, known as a residential community within the Lima metropolitan area.
- 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_69e245836014819091b91ed3074742a3 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f16163cb248190b377b110d80a6730 |
completed | April 29, 2026, 1:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b3d5e31308190a11bff9270795efd |
completed | May 18, 2026, 4:25 p.m. |
| NEDg | Description generation | batch_6a0b3e908a308190af37f63904f38915 |
completed | May 18, 2026, 4:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b3f8d85cc8190812924d466d18735 |
completed | May 18, 2026, 4:34 p.m. |
Created at: April 17, 2026, 2:49 p.m.