Triple
T7766050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwich Cathedral |
E176147
|
entity |
| Predicate | rankBySpireHeightInEngland |
P53363
|
FINISHED |
| Object | second tallest after Salisbury Cathedral |
—
|
LITERAL 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: second tallest after Salisbury Cathedral | Statement: [Norwich Cathedral, rankBySpireHeightInEngland, second tallest after Salisbury Cathedral]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankBySpireHeightInEngland Context triple: [Norwich Cathedral, rankBySpireHeightInEngland, second tallest after Salisbury Cathedral]
-
A.
rankingInEnglandByHeight
chosen
Indicates the relative position of an entity in an ordered list based on its height specifically within the context of England.
-
B.
rankingInUnitedKingdomByHeight
Indicates the position of an entity in an ordered list based on its height within the United Kingdom.
-
C.
rankingInBritishIslesByHeight
Indicates the position of an entity in an ordered list of heights specifically within the British Isles.
-
D.
higherEnglishPeaks
Indicates that one entity has English peaks that are higher than those of another entity.
-
E.
formerRankInUKByHeight
Indicates that an entity previously held a specific rank in the United Kingdom when entities are ordered by height.
- F. None of above.
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_69c69962923c8190ac74d28b4f9fe0a0 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7043279748190b30882e9cc6cca54 |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c7016f4ce881909c2e9f610255187b |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:09 p.m.