Triple
T2691172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clacton-on-Sea |
E58404
|
entity |
| Predicate | hasPostcodeArea |
P920
|
FINISHED |
| Object |
CO
CO is a postcode area in the United Kingdom covering Colchester and surrounding parts of Essex, including towns such as Clacton-on-Sea.
|
E290182
|
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: CO | Statement: [Clacton-on-Sea, hasPostcodeArea, CO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CO Context triple: [Clacton-on-Sea, hasPostcodeArea, CO]
-
A.
CO
CO is the Italian vehicle registration code for the Province of Como in the Lombardy region.
-
B.
CO
CO is the official two-letter United States Postal Service abbreviation for the state of Colorado.
-
C.
CO
CO is the two-letter ISO 3166-1 alpha-2 country code assigned to Colombia for international identification and standardization purposes.
-
D.
CAL
CAL is the ICAO airline designator used to identify China Airlines in international aviation operations.
-
E.
CA
CA is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Canada in international standards and systems.
- 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: CO Triple: [Clacton-on-Sea, hasPostcodeArea, CO]
Generated description
CO is a postcode area in the United Kingdom covering Colchester and surrounding parts of Essex, including towns such as Clacton-on-Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CO Target entity description: CO is a postcode area in the United Kingdom covering Colchester and surrounding parts of Essex, including towns such as Clacton-on-Sea.
-
A.
CO
CO is the two-letter ISO 3166-1 alpha-2 country code assigned to Colombia for international identification and standardization purposes.
-
B.
CO
CO is the Italian vehicle registration code for the Province of Como in the Lombardy region.
-
C.
CO
CO is the official two-letter United States Postal Service abbreviation for the state of Colorado.
-
D.
CAL
CAL is the ICAO airline designator used to identify China Airlines in international aviation operations.
-
E.
CA
CA is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Canada in international standards and systems.
- 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda0cb9b48190ab354c277cef9e23 |
completed | March 7, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf61b83c8190ab254d927cb908f2 |
completed | March 10, 2026, 5:42 a.m. |
| NEDg | Description generation | batch_69afb002b86881909401e1bec24b76bf |
completed | March 10, 2026, 5:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb0e906f88190b182cbfe81122eed |
completed | March 10, 2026, 5:49 a.m. |
Created at: March 6, 2026, 9:54 p.m.