Triple
T22699027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Havilland Canada |
E561261
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object |
Buffalo
Buffalo is a rugged, short takeoff and landing (STOL) utility aircraft series produced by De Havilland Canada, known for its ability to operate in challenging environments and remote regions.
|
E1557375
|
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: Buffalo | Statement: [De Havilland Canada, hasBrand, Buffalo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buffalo Context triple: [De Havilland Canada, hasBrand, Buffalo]
-
A.
Buffalo
Buffalo is a major city in western New York State known for its industrial history, proximity to Niagara Falls, and namesake Buffalo-style chicken wings.
-
B.
Rochester
Rochester is a historic cathedral city and former market town in Kent, England, known for its Norman castle, Romanesque cathedral, and strong associations with the novelist Charles Dickens.
-
C.
Rochester
Rochester is a small village located in Lorain County in the U.S. state of Ohio.
-
D.
Rochester
Rochester is a rural town in northern Victoria, Australia, known for its agricultural community and location near the Campaspe River.
-
E.
Rochester
Rochester is a given name that can refer to various individuals, including Rochester Van Jones.
- 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: Buffalo Triple: [De Havilland Canada, hasBrand, Buffalo]
Generated description
Buffalo is a rugged, short takeoff and landing (STOL) utility aircraft series produced by De Havilland Canada, known for its ability to operate in challenging environments and remote regions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Buffalo Target entity description: Buffalo is a rugged, short takeoff and landing (STOL) utility aircraft series produced by De Havilland Canada, known for its ability to operate in challenging environments and remote regions.
-
A.
Buffalo
Buffalo is a major city in western New York State known for its industrial history, proximity to Niagara Falls, and namesake Buffalo-style chicken wings.
-
B.
Rochester
Rochester is a historic cathedral city and former market town in Kent, England, known for its Norman castle, Romanesque cathedral, and strong associations with the novelist Charles Dickens.
-
C.
Rochester
Rochester is a small village located in Lorain County in the U.S. state of Ohio.
-
D.
Rochester
Rochester is a rural town in northern Victoria, Australia, known for its agricultural community and location near the Campaspe River.
-
E.
Rochester
Rochester is a given name that can refer to various individuals, including Rochester Van Jones.
- 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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178c944748190a0712983f7059114 |
completed | April 29, 2026, 3:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ba797ca788190a9ad4abd08505e60 |
completed | May 18, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_6a0ba8a7d42081909eb748c3465ad19d |
completed | May 19, 2026, 12:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ba955e07c819091a8f7a51cecd4bc |
completed | May 19, 2026, 12:05 a.m. |
Created at: April 17, 2026, 3:15 p.m.