Triple
T9524456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape Breton Regional Municipality |
E229725
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | New Waterford |
E614325
|
NE FINISHED |
How this triple was built (2 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: New Waterford | Statement: [Cape Breton Regional Municipality, contains, New Waterford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: New Waterford Context triple: [Cape Breton Regional Municipality, contains, New Waterford]
-
A.
New Waterford
chosen
New Waterford is a small former coal-mining town located on Cape Breton Island in Nova Scotia, Canada.
-
B.
New Wexford
New Wexford is a small community located within the rural township of Edwardsburgh/Cardinal in eastern Ontario, Canada.
-
C.
Waterford
Waterford is a small town and village in eastern New York State, known as the eastern terminus of the Erie Canal and its historic canal locks.
-
D.
Waterford
Waterford is a small incorporated city located in Stanislaus County in California’s Central Valley.
-
E.
Waterford
Waterford is a historic port city in southeast Ireland, renowned as the country’s oldest city and for its traditional crystal glassmaking.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca847870a881909d8d751a7d29da39 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9899f99481908d374528716027f8 |
completed | April 1, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a61fbd08190bb68ffe29da3a34a |
completed | April 4, 2026, 4:20 p.m. |
Created at: March 30, 2026, 7:59 p.m.