Triple
T13249233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A21 |
E315483
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object |
London
London is the capital and largest city of the United Kingdom, renowned as a global center for finance, culture, and history.
|
E1817
|
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: London | Statement: [A21, connects, London]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: London Context triple: [A21, connects, London]
-
A.
London
London is a major Ethereum network upgrade that introduced significant changes to the protocol’s fee market and transaction pricing mechanisms.
-
B.
London
London is a major city in Kiribati, located on Kiritimati (Christmas Island) in the central Pacific Ocean.
-
C.
London, England
London, England is the capital and largest city of the United Kingdom, renowned as a global center for finance, culture, and politics.
-
D.
Allondon
Allondon is a small river in western Switzerland and neighboring France, known for flowing through the Geneva region and its natural, relatively unspoiled surroundings.
-
E.
York, England
York, England is a historic walled city in northern England renowned for its medieval architecture, including York Minster, and its rich Roman and Viking heritage.
- 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: London Triple: [A21, connects, London]
Generated description
London is the capital and largest city of the United Kingdom, renowned as a global center for finance, culture, and history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: London Target entity description: London is the capital and largest city of the United Kingdom, renowned as a global center for finance, culture, and history.
-
A.
London
London is a major Ethereum network upgrade that introduced significant changes to the protocol’s fee market and transaction pricing mechanisms.
-
B.
London
London is a major city in Kiribati, located on Kiritimati (Christmas Island) in the central Pacific Ocean.
-
C.
London, England
chosen
London, England is the capital and largest city of the United Kingdom, renowned as a global center for finance, culture, and politics.
-
D.
Allondon
Allondon is a small river in western Switzerland and neighboring France, known for flowing through the Geneva region and its natural, relatively unspoiled surroundings.
-
E.
York, England
York, England is a historic walled city in northern England renowned for its medieval architecture, including York Minster, and its rich Roman and Viking heritage.
- F. None of above.
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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d9e7ea881908abc4b3a54896692 |
completed | April 10, 2026, 11:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a2a3f2881909af3e146ee24062d |
completed | May 3, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69f70b117c588190bb81ff53664cac4a |
completed | May 3, 2026, 8:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70c04da34819091e01db25741674e |
completed | May 3, 2026, 8:49 a.m. |
Created at: April 9, 2026, 9:24 p.m.