Triple
T10829663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EC postcode area |
E255583
|
entity |
| Predicate | containsPostcodeDistrict |
P32592
|
FINISHED |
| Object | EC3M |
E854179
|
NE FINISHED |
How this triple was built (2 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: EC3M | Statement: [EC postcode area, containsPostcodeDistrict, EC3M]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EC3M Context triple: [EC postcode area, containsPostcodeDistrict, EC3M]
-
A.
EC3
chosen
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.
-
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.
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.
-
D.
E313
E313 is a major Belgian motorway connecting Antwerp with Liège and serving as a key east–west transport corridor through the Limburg region.
-
E.
ECM
ECM is a financial forecasting model developed by economist Martin Armstrong that predicts economic cycles and market turning points based on a recurring time interval.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d74420fa188190b5b3c59e1a9f551d |
completed | April 9, 2026, 6:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb11a264c8190829ff89f0b13d063 |
completed | April 14, 2026, 9:26 p.m. |
Created at: April 8, 2026, 9:19 p.m.