Triple
T1686936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peterborough, Ontario |
E36462
|
entity |
| Predicate | hasPostalCodePrefix |
P961
|
FINISHED |
| Object |
K9K
K9K is a Canadian postal code prefix assigned to part of the city of Peterborough in Ontario.
|
E189102
|
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: K9K | Statement: [Peterborough, Ontario, hasPostalCodePrefix, K9K]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K9K Context triple: [Peterborough, Ontario, hasPostalCodePrefix, K9K]
-
A.
K-9
K-9 is a robotic dog from the Doctor Who universe, known as a loyal, intelligent companion equipped with advanced technology and weaponry.
-
B.
K9A1
K9A1 is an upgraded South Korean K9 Thunder self-propelled howitzer variant featuring improved fire control, automation, and crew ergonomics.
-
C.
K9FIN Moukari
K9FIN Moukari is a Finnish-modified version of the South Korean K9 Thunder self-propelled howitzer, tailored to meet Finland’s specific operational and environmental requirements.
-
D.
K9A2
K9A2 is an advanced, upgraded version of the South Korean K9 Thunder self-propelled howitzer, featuring enhanced automation, improved fire control, and greater operational efficiency.
-
E.
The K
The K is the popular nickname for Kauffman Stadium, the longtime home ballpark of Major League Baseball’s Kansas City Royals.
- 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: K9K Triple: [Peterborough, Ontario, hasPostalCodePrefix, K9K]
Generated description
K9K is a Canadian postal code prefix assigned to part of the city of Peterborough in Ontario.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: K9K Target entity description: K9K is a Canadian postal code prefix assigned to part of the city of Peterborough in Ontario.
-
A.
K-9
K-9 is a robotic dog from the Doctor Who universe, known as a loyal, intelligent companion equipped with advanced technology and weaponry.
-
B.
K9A1
K9A1 is an upgraded South Korean K9 Thunder self-propelled howitzer variant featuring improved fire control, automation, and crew ergonomics.
-
C.
K9FIN Moukari
K9FIN Moukari is a Finnish-modified version of the South Korean K9 Thunder self-propelled howitzer, tailored to meet Finland’s specific operational and environmental requirements.
-
D.
K9A2
K9A2 is an advanced, upgraded version of the South Korean K9 Thunder self-propelled howitzer, featuring enhanced automation, improved fire control, and greater operational efficiency.
-
E.
The K
The K is the popular nickname for Kauffman Stadium, the longtime home ballpark of Major League Baseball’s Kansas City Royals.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa6293c368819094ab0f615e418647 |
completed | March 6, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad71c344fc8190926db828cf09550e |
completed | March 8, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_69ad72371b648190a50b5b5ca9cd7f5d |
completed | March 8, 2026, 12:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad72a64e0c8190a2b63c78c54896d0 |
completed | March 8, 2026, 12:59 p.m. |
Created at: March 4, 2026, 7:29 p.m.