Triple
T3101668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Victoria Park |
E64732
|
entity |
| Predicate | hasView |
P854
|
FINISHED |
| Object | Skylon Tower |
E63648
|
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: Skylon Tower | Statement: [Queen Victoria Park, hasView, Skylon Tower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skylon Tower Context triple: [Queen Victoria Park, hasView, 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.
London Eye
The London Eye is a giant riverside observation wheel in central London offering panoramic views of the city’s skyline and landmarks.
-
E.
Brighton i360
Brighton i360 is a seafront observation tower in Brighton, England, known for its glass viewing pod that offers panoramic coastal and city views.
- 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_69ad857dc98481909e585dc3372e3ed5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada26c76ec81908d11f82be573c518 |
completed | March 8, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b203809fac81908047b1139b13cb04 |
completed | March 12, 2026, 12:06 a.m. |
Created at: March 8, 2026, 3:03 p.m.