Triple
T170376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Cam |
E3107
|
entity |
| Predicate | hasCityOnBank |
P7935
|
FINISHED |
| Object |
Ely
Ely is a historic cathedral city in Cambridgeshire, England, renowned for its prominent Ely Cathedral and its location in the Fens.
|
E35525
|
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: Ely | Statement: [River Cam, hasCityOnBank, Ely]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ely Context triple: [River Cam, hasCityOnBank, Ely]
-
A.
Haverhill
Haverhill is a historic city in northeastern Massachusetts that functions as a suburban community within the Greater Boston metropolitan area.
-
B.
Portsmouth
Portsmouth is a historic naval port city on England’s south coast, heavily targeted and damaged during the World War II Blitz.
-
C.
Portsmouth
Portsmouth is a historic seaport city in southeastern New Hampshire known for its colonial-era architecture, maritime heritage, and vibrant cultural scene.
-
D.
King's Lynn
King's Lynn is a historic market and port town in Norfolk, England, known for its medieval architecture and long-standing role as a regional commercial center.
-
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: Ely Triple: [River Cam, hasCityOnBank, Ely]
Generated description
Ely is a historic cathedral city in Cambridgeshire, England, renowned for its prominent Ely Cathedral and its location in the Fens.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ely Target entity description: Ely is a historic cathedral city in Cambridgeshire, England, renowned for its prominent Ely Cathedral and its location in the Fens.
-
A.
Haverhill
Haverhill is a historic city in northeastern Massachusetts that functions as a suburban community within the Greater Boston metropolitan area.
-
B.
Portsmouth
Portsmouth is a historic naval port city on England’s south coast, heavily targeted and damaged during the World War II Blitz.
-
C.
Portsmouth
Portsmouth is a historic seaport city in southeastern New Hampshire known for its colonial-era architecture, maritime heritage, and vibrant cultural scene.
-
D.
King's Lynn
King's Lynn is a historic market and port town in Norfolk, England, known for its medieval architecture and long-standing role as a regional commercial center.
-
E.
Windsor
Windsor is a historic English town in Berkshire best known for Windsor Castle, one of the official residences of the British monarch and a major royal and military ceremonial site.
- 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_69a2524ce1e48190ab066bf72859f474 |
completed | Feb. 28, 2026, 2:26 a.m. |
| NER | Named-entity recognition | batch_69a25bae79b48190abfd247410e5918f |
completed | Feb. 28, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a38f4c7dbc8190bd240d574dbe77ae |
completed | March 1, 2026, 12:58 a.m. |
| NEDg | Description generation | batch_69a38fd6772081908bbaf308bdbcd5f6 |
completed | March 1, 2026, 1:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3908a50088190a7cea3de890a8e86 |
completed | March 1, 2026, 1:04 a.m. |
Created at: Feb. 28, 2026, 2:34 a.m.