Triple
T554874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salisbury Cathedral |
E11920
|
entity |
| Predicate | towerAndSpireHeight |
P1730
|
FINISHED |
| Object | 123 m |
—
|
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: 123 m | Statement: [Salisbury Cathedral, towerAndSpireHeight, 123 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: towerAndSpireHeight Context triple: [Salisbury Cathedral, towerAndSpireHeight, 123 m]
-
A.
towerShape
Indicates that one entity has the physical form or outline of a tower in relation to another entity.
-
B.
towerType
Indicates the specific kind or classification of a tower that an entity is associated with or represents.
-
C.
highestPillarApproximateHeight
Indicates the estimated height value of the tallest pillar in a given context or structure.
-
D.
antennaSpireHeight
chosen
Indicates the vertical measurement of an object's antenna or spire from its base to its highest point.
-
E.
tallestBuildingIn
Indicates that one entity is the tallest building located within the area or region specified by the other entity.
- 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4991dd7008190a6c1bc8bc832456d |
completed | March 1, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69a494bc1f8c8190904356f3a8e801de |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.