Triple
T1788606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Michael’s Cathedral |
E39443
|
entity |
| Predicate | originalTowerHeight |
P17701
|
FINISHED |
| Object | approximately 90 metres |
—
|
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: approximately 90 metres | Statement: [St Michael’s Cathedral, originalTowerHeight, approximately 90 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalTowerHeight Context triple: [St Michael’s Cathedral, originalTowerHeight, approximately 90 metres]
-
A.
hasTowerHeight
Indicates that an entity (such as a tower or structure) has a specific height value associated with it.
-
B.
testTowerHeight
Indicates that an entity measures or evaluates the height of a tower.
-
C.
towerName
Indicates the specific name assigned to a tower in the relationship.
-
D.
formerSpireHeight
chosen
Indicates the height that a spire used to have before being altered, removed, or replaced.
-
E.
buildingHeightContext
Indicates the contextual or situational factors under which a building’s height is defined, measured, or interpreted.
- 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab75457e54819096b8c6ae8c65550c |
completed | March 7, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69aa61d165688190924962a98e07ff69 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.