Triple
T3722400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Kinga’s Chapel |
E81666
|
entity |
| Predicate | elevationBelowGround |
P51440
|
FINISHED |
| Object | approximately 101 meters |
—
|
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 101 meters | Statement: [St Kinga’s Chapel, elevationBelowGround, approximately 101 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elevationBelowGround Context triple: [St Kinga’s Chapel, elevationBelowGround, approximately 101 meters]
-
A.
elevationLowerThan
Indicates that the elevation of one entity is lower than the elevation of another entity.
-
B.
partlyBelowSeaLevel
Indicates that an entity’s elevation is such that some, but not all, of it lies below sea level.
-
C.
elevationAtBase
Indicates the height or altitude measured at the base or lowest point of an object or feature relative to a reference level.
-
D.
liesBelow
Indicates that one entity is positioned at a lower vertical level than another entity.
-
E.
elevationMinApprox
Indicates an approximate value for the minimum elevation associated with an entity or location.
- F. None of above. chosen
Provenance (4 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_69ad8b1b7ef081908d2d381bbf54985a |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adca9ea1688190b3b8414d77960e8f |
completed | March 8, 2026, 7:14 p.m. |
| PD | Predicate disambiguation | batch_69adc0436e508190909ec4a3e8443aef |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc48ec1a081909af0ff9f267c0ffe |
completed | March 8, 2026, 6:48 p.m. |
Created at: March 8, 2026, 3:34 p.m.