Triple
T6113912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mont-Royal |
E136312
|
entity |
| Predicate | hasViewpoint |
P854
|
FINISHED |
| Object | Kondiaronk Belvedere |
E177962
|
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: Kondiaronk Belvedere | Statement: [Mont-Royal, hasViewpoint, Kondiaronk Belvedere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kondiaronk Belvedere Context triple: [Mont-Royal, hasViewpoint, Kondiaronk Belvedere]
-
A.
Kondiaronk Belvedere
chosen
Kondiaronk Belvedere is a popular scenic lookout on Mount Royal in Montreal, offering panoramic views of the city skyline.
-
B.
Sibley Dome
Sibley Dome is the prominent domed architectural feature crowning Sibley Hall at Cornell University.
-
C.
Naumkeag
Naumkeag is the original Native American name for the area that later became Salem, Massachusetts.
-
D.
Naumkeag
Naumkeag is a historic Gilded Age estate and garden in Stockbridge, Massachusetts, renowned for its elegant Shingle-style mansion and iconic landscaped terraces.
-
E.
Hillwood
Hillwood is a real estate development company known for large-scale industrial, commercial, and mixed-use projects across the United States.
- 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_69c0089ea6f88190b349be53e04b4f5f |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bbf2ee4819097af2cce9248bf4e |
completed | March 22, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1359ed8608190a99c9e5b0f384c63 |
completed | March 23, 2026, 12:44 p.m. |
Created at: March 22, 2026, 4:14 p.m.