Triple
T19923149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niagara Falls, Ontario |
E478850
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object | Skylon Tower |
—
|
NE NERFINISHED |
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: Skylon Tower | Statement: [Niagara Falls, Ontario, hasAttraction, Skylon Tower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skylon Tower Context triple: [Niagara Falls, Ontario, hasAttraction, Skylon Tower]
-
A.
Skylon Tower
chosen
Skylon Tower is an observation tower in Niagara Falls, Ontario, known for its panoramic views of the falls and its revolving dining room.
-
B.
The Shard
The Shard is a landmark glass skyscraper in London known for its sharp, shard-like design and status as one of the tallest buildings in the United Kingdom.
-
C.
BT Tower
BT Tower is a prominent telecommunications tower and London landmark known for its distinctive cylindrical shape and role in broadcasting and communications.
-
D.
AXA Tower
AXA Tower is a prominent commercial skyscraper in Singapore’s central business district, known for its distinctive cylindrical design and office spaces.
-
E.
London Eye
The London Eye is a giant riverside observation wheel in central London offering panoramic views of the city’s skyline and landmarks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659c7be948190a65a1c78ba68dff3 |
completed | April 20, 2026, 4:52 p.m. |
Created at: April 10, 2026, 1:53 p.m.