Triple
T8584405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harston |
E203266
|
entity |
| Predicate | hasPostcodeDistrict |
P961
|
FINISHED |
| Object |
CB22
CB22 is a postcode district in the Cambridge area of Cambridgeshire, England, covering Harston and surrounding villages.
|
E742685
|
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: CB22 | Statement: [Harston, hasPostcodeDistrict, CB22]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CB22 Context triple: [Harston, hasPostcodeDistrict, CB22]
-
A.
S-220
S-220 is the hull number of NOAA Ship Fairweather, a National Oceanic and Atmospheric Administration vessel primarily used for hydrographic surveying and seafloor mapping.
-
B.
D22
D22 is the second-generation Nissan Navara (also known as the Nissan Frontier in some markets), a compact pickup truck platform produced from the late 1990s into the 2000s.
-
C.
CBAS-2
CBAS-2 is a classified U.S. Space Force military communications satellite designed to provide secure, high-capacity relay capabilities for national defense missions.
-
D.
C-2
C-2 is a commuter rail line within the Cercanías Madrid network that connects central Madrid with its surrounding metropolitan areas.
-
E.
G22
G22 is BMW’s internal model designation for the second-generation 4 Series coupe, introduced with updated styling, technology, and performance over its predecessor.
- 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: CB22 Triple: [Harston, hasPostcodeDistrict, CB22]
Generated description
CB22 is a postcode district in the Cambridge area of Cambridgeshire, England, covering Harston and surrounding villages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CB22 Target entity description: CB22 is a postcode district in the Cambridge area of Cambridgeshire, England, covering Harston and surrounding villages.
-
A.
S-220
S-220 is the hull number of NOAA Ship Fairweather, a National Oceanic and Atmospheric Administration vessel primarily used for hydrographic surveying and seafloor mapping.
-
B.
D22
D22 is the second-generation Nissan Navara (also known as the Nissan Frontier in some markets), a compact pickup truck platform produced from the late 1990s into the 2000s.
-
C.
CBAS-2
CBAS-2 is a classified U.S. Space Force military communications satellite designed to provide secure, high-capacity relay capabilities for national defense missions.
-
D.
C-2
C-2 is a commuter rail line within the Cercanías Madrid network that connects central Madrid with its surrounding metropolitan areas.
-
E.
G22
G22 is BMW’s internal model designation for the second-generation 4 Series coupe, introduced with updated styling, technology, and performance over its predecessor.
- 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbeb1ecc188190bbe2ab8d2423505b |
completed | March 31, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce89bfb95c81909660460d5813fdaf |
completed | April 2, 2026, 3:22 p.m. |
| NEDg | Description generation | batch_69ce8ac2aec0819087770c0e9dfd3174 |
completed | April 2, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8b637bbc819097bf333d348631cd |
completed | April 2, 2026, 3:29 p.m. |
Created at: March 30, 2026, 6:22 p.m.