Triple
T225291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renzo Piano |
E4301
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Shard |
E11101
|
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: The Shard | Statement: [Renzo Piano, notableWork, The Shard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Shard Context triple: [Renzo Piano, notableWork, The Shard]
-
A.
The Shard
chosen
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.
-
B.
London Eye
The London Eye is a giant riverside observation wheel in central London offering panoramic views of the city’s skyline and landmarks.
-
C.
Canary Wharf
Canary Wharf is a major business and financial district in East London known for its cluster of modern skyscrapers and corporate headquarters.
-
D.
Burj Khalifa
Burj Khalifa is the world’s tallest skyscraper, a landmark of modern engineering and architecture located in Dubai, United Arab Emirates.
-
E.
Burj Al Arab
Burj Al Arab is a luxury hotel in Dubai famous for its sail-shaped silhouette and status as one of the most iconic and opulent hotels in the world.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c8c0b8881908016161568c0cbfb |
completed | Feb. 28, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a35277532c8190ab2815c63a564e33 |
completed | Feb. 28, 2026, 8:39 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.