Triple
T46105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North West England |
E903
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Carlisle
Carlisle is a historic cathedral city and county town of Cumbria in North West England, near the Scottish border.
|
E24767
|
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: Carlisle | Statement: [North West England, hasCity, Carlisle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carlisle Context triple: [North West England, hasCity, Carlisle]
-
A.
Lancaster
The Lancaster is a British four-engined World War II heavy bomber renowned for its major role in night bombing campaigns and famous missions such as the "Dambusters" raid.
-
B.
Lancaster
Lancaster is a historic city in North West England known for its medieval castle, Georgian architecture, and role as the county town of Lancashire.
-
C.
Stafford
Stafford is a county in Northern Virginia known for its suburban communities, historical sites, and proximity to Washington, D.C.
-
D.
Winchester
Winchester is a suburban town in Middlesex County, Massachusetts, known for its residential character and proximity to Boston.
-
E.
Windsor
Windsor is the royal house and family name of the reigning British monarchs, adopted in the early 20th century and borne by Queen Elizabeth II and her descendants.
- 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: Carlisle Triple: [North West England, hasCity, Carlisle]
Generated description
Carlisle is a historic cathedral city and county town of Cumbria in North West England, near the Scottish border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carlisle Target entity description: Carlisle is a historic cathedral city and county town of Cumbria in North West England, near the Scottish border.
-
A.
Lancaster
The Lancaster is a British four-engined World War II heavy bomber renowned for its major role in night bombing campaigns and famous missions such as the "Dambusters" raid.
-
B.
Lancaster
Lancaster is a historic city in North West England known for its medieval castle, Georgian architecture, and role as the county town of Lancashire.
-
C.
Stafford
Stafford is a county in Northern Virginia known for its suburban communities, historical sites, and proximity to Washington, D.C.
-
D.
Winchester
Winchester is a suburban town in Middlesex County, Massachusetts, known for its residential character and proximity to Boston.
-
E.
Windsor
Windsor is the royal house and family name of the reigning British monarchs, adopted in the early 20th century and borne by Queen Elizabeth II and her descendants.
- 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24af153b08190b0875b86d591d473 |
completed | Feb. 28, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a31155cfe48190927341544078c9ca |
completed | Feb. 28, 2026, 4:01 p.m. |
| NEDg | Description generation | batch_69a313c6cd88819093754d91199660c9 |
completed | Feb. 28, 2026, 4:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3142c87ac8190bf110b3b51d9166d |
completed | Feb. 28, 2026, 4:13 p.m. |
Created at: Feb. 28, 2026, 1:47 a.m.