Triple
T23226084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maddington, Wiltshire |
E581015
|
entity |
| Predicate | postcodeArea |
P920
|
FINISHED |
| Object |
SP
SP is a postcode area in southern England that covers Salisbury and surrounding parts of Wiltshire and nearby counties.
|
E1578719
|
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: SP | Statement: [Maddington, Wiltshire, postcodeArea, SP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SP Context triple: [Maddington, Wiltshire, postcodeArea, SP]
-
A.
SP
SP is the official aircraft registration prefix used to identify airplanes registered in Poland.
-
B.
SP
SP is the commonly used abbreviation for the Social Democratic Party of Switzerland, a major center-left political party in the country.
-
C.
SP
SP is the commonly used abbreviation for the Samajwadi Party, a major socialist-oriented political party in India.
-
D.
SP
SP is the vehicle registration code used on license plates for the city of Speyer in Germany.
-
E.
SP
SP is the official two-letter abbreviation for the Brazilian state of São Paulo, widely used in vehicle registration plates and administrative codes.
- 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: SP Triple: [Maddington, Wiltshire, postcodeArea, SP]
Generated description
SP is a postcode area in southern England that covers Salisbury and surrounding parts of Wiltshire and nearby counties.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SP Target entity description: SP is a postcode area in southern England that covers Salisbury and surrounding parts of Wiltshire and nearby counties.
-
A.
SP
SP is the vehicle registration code used on license plates for motor vehicles registered in Sri Lanka’s Galle District.
-
B.
SP
SP is the vehicle registration code used on license plates for the city of Speyer in Germany.
-
C.
SP
SP is the official two-letter abbreviation for the Brazilian state of São Paulo, widely used in vehicle registration plates and administrative codes.
-
D.
SP
SP is the common abbreviation for the Southern Pacific Railroad, a major historic American railroad that operated extensively in the western United States.
-
E.
SP
SP is the commonly used abbreviation for the Samajwadi Party, a major socialist-oriented political party in India.
- 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_69e246043c48819089bae72c9a9c306c |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f1922e2d2c81908c0f3fa5df8a5c58 |
completed | April 29, 2026, 5:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f51c9ec81909d8838c7e1d47468 |
completed | May 19, 2026, 10:45 a.m. |
| NEDg | Description generation | batch_6a0c43740a7c81909e9af7a9974a5700 |
completed | May 19, 2026, 11:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c44d05c748190a5f4ab5f76dfcaab |
completed | May 19, 2026, 11:09 a.m. |
Created at: April 17, 2026, 4:08 p.m.