Triple
T9568366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port Colborne |
E230845
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Bethel
Bethel is a small residential community and neighbourhood within the city of Port Colborne in Ontario, Canada.
|
E806811
|
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: Bethel | Statement: [Port Colborne, hasNeighbourhood, Bethel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bethel Context triple: [Port Colborne, hasNeighbourhood, Bethel]
-
A.
Bethel
Bethel is a remote city in western Alaska that serves as a regional hub for transportation, health care, and services for many surrounding Yup’ik villages.
-
B.
Bethel
Bethel was an important religious and political center in ancient Israel, traditionally associated with patriarchal worship and later Israelite monarchy.
-
C.
Bethel
Bethel is a small town in western Maine known as a gateway to the White Mountains and a center for outdoor recreation and regional history.
-
D.
Bethel, Connecticut
Bethel, Connecticut is a suburban New England town in Fairfield County known for its historic downtown and role as a residential community near Danbury.
-
E.
Bethel, New York
Bethel, New York is a rural town in the Catskills best known as the site of the 1969 Woodstock music festival.
- 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: Bethel Triple: [Port Colborne, hasNeighbourhood, Bethel]
Generated description
Bethel is a small residential community and neighbourhood within the city of Port Colborne in Ontario, Canada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bethel Target entity description: Bethel is a small residential community and neighbourhood within the city of Port Colborne in Ontario, Canada.
-
A.
Bethel
Bethel is a remote city in western Alaska that serves as a regional hub for transportation, health care, and services for many surrounding Yup’ik villages.
-
B.
Bethel
Bethel was an important religious and political center in ancient Israel, traditionally associated with patriarchal worship and later Israelite monarchy.
-
C.
Bethel
Bethel is a small town in western Maine known as a gateway to the White Mountains and a center for outdoor recreation and regional history.
-
D.
Bethel, Connecticut
Bethel, Connecticut is a suburban New England town in Fairfield County known for its historic downtown and role as a residential community near Danbury.
-
E.
Bethel, New York
Bethel, New York is a rural town in the Catskills best known as the site of the 1969 Woodstock music festival.
- 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_69ca847f22188190a56e4a97625bef22 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9987cb0c8190af32a1193de54890 |
completed | April 1, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d152b5b40c81909a84e34a944abfd0 |
completed | April 4, 2026, 6:04 p.m. |
| NEDg | Description generation | batch_69d153c26b8481908298b32918666562 |
completed | April 4, 2026, 6:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d15445e7a88190accd19c53a6170bb |
completed | April 4, 2026, 6:11 p.m. |
Created at: March 30, 2026, 8:04 p.m.