Triple
T350127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quebec City |
E7422
|
entity |
| Predicate | hasBorough |
P300
|
FINISHED |
| Object | Beauport |
E45701
|
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: Beauport | Statement: [Quebec City, hasBorough, Beauport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beauport Context triple: [Quebec City, hasBorough, Beauport]
-
A.
Old Port
Old Port is Portland, Maine’s historic waterfront district known for its cobblestone streets, 19th-century brick buildings, and vibrant shops, restaurants, and nightlife.
-
B.
Charlesbourg
chosen
Charlesbourg is a residential borough of Quebec City known for its historic district, suburban neighborhoods, and proximity to the city’s urban core.
-
C.
Château Frontenac
Château Frontenac is a grand historic hotel and iconic hilltop landmark overlooking the St. Lawrence River in Old Quebec, Canada.
-
D.
Back Bay
Back Bay is a historic and upscale Boston neighborhood known for its Victorian brownstone homes, shopping streets like Newbury Street, and proximity to major cultural and green spaces.
-
E.
Port of Boston
The Port of Boston is a major New England seaport and transportation hub handling cargo, cruise ships, and maritime commerce for the Boston metropolitan area.
- 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_69a2e7e696948190bebc966535995e45 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eb1f028c819098fa6480b4ca5cf0 |
completed | Feb. 28, 2026, 1:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3e86175588190a893cb2266f06170 |
completed | March 1, 2026, 7:18 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.