Triple
T1483689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Giles’ Cathedral, Edinburgh |
E29415
|
entity |
| Predicate | hasSpireHeightApprox |
P9788
|
FINISHED |
| Object | 45 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: 45 metres | Statement: [St Giles’ Cathedral, Edinburgh, hasSpireHeightApprox, 45 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpireHeightApprox Context triple: [St Giles’ Cathedral, Edinburgh, hasSpireHeightApprox, 45 metres]
-
A.
formerSpireHeight
Indicates the height that a spire used to have before being altered, removed, or replaced.
-
B.
hasTowerHeight
Indicates that an entity (such as a tower or structure) has a specific height value associated with it.
-
C.
hasHeight
chosen
Indicates that one entity possesses a specific vertical measurement or stature.
-
D.
hasMinaretHeightApprox
Indicates that an entity has a minaret whose height is approximately a specified value, allowing for some margin of imprecision.
-
E.
hasAntennaSpire
Indicates that one entity (typically a structure or building) is equipped with or features an antenna spire.
- 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c679714c8190ac53630fb49e19c5 |
completed | March 1, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69a4c486eacc81909c272f9bdf50a7c3 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:12 p.m.