Triple
T14963042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EC4 |
E373113
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
EC4N
EC4N is a central London postcode district covering part of the City of London, including areas around Bank and Monument.
|
E1130543
|
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: EC4N | Statement: [EC4, hasSubdivision, EC4N]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EC4N Context triple: [EC4, hasSubdivision, EC4N]
-
A.
EC1N
EC1N is a central London postcode district covering parts of the Holborn and Farringdon areas, known for its mix of legal, commercial, and residential properties.
-
B.
EC4
EC4 is a central London postcode district covering parts of the City of London, including key financial and commercial areas around Cannon Street and St Paul’s.
-
C.
EC3
EC3 is a central London postcode district covering parts of the City of London, including areas around the financial district and the eastern end of the historic core.
-
D.
EC2N
EC2N is a central London postcode district covering part of the City’s financial core, including areas around the Bank of England and major commercial offices.
-
E.
EC-M
EC-M is the vehicle registration and regional code assigned to the Macas area in Ecuador.
- 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: EC4N Triple: [EC4, hasSubdivision, EC4N]
Generated description
EC4N is a central London postcode district covering part of the City of London, including areas around Bank and Monument.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EC4N Target entity description: EC4N is a central London postcode district covering part of the City of London, including areas around Bank and Monument.
-
A.
EC1N
EC1N is a central London postcode district covering parts of the Holborn and Farringdon areas, known for its mix of legal, commercial, and residential properties.
-
B.
EC4
EC4 is a central London postcode district covering parts of the City of London, including key financial and commercial areas around Cannon Street and St Paul’s.
-
C.
EC3
EC3 is a central London postcode district covering parts of the City of London, including areas around the financial district and the eastern end of the historic core.
-
D.
EC2N
EC2N is a central London postcode district covering part of the City’s financial core, including areas around the Bank of England and major commercial offices.
-
E.
EC-M
EC-M is the vehicle registration and regional code assigned to the Macas area in Ecuador.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6d0487c8190b7754af8c5014b37 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bdeec408190893d1db9254da24e |
completed | May 9, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_69fe90383bd081908bc754655c203695 |
completed | May 9, 2026, 1:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe90ec50e081909ab267fee2b069bc |
completed | May 9, 2026, 1:42 a.m. |
Created at: April 10, 2026, 2:40 a.m.