Triple
T8715079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peterskirche (St Peter’s Church) |
E206872
|
entity |
| Predicate | hasNumberOfStepsToObservationPlatform |
P84045
|
FINISHED |
| Object | approximately 300 |
—
|
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 300 | Statement: [Peterskirche (St Peter’s Church), hasNumberOfStepsToObservationPlatform, approximately 300]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfStepsToObservationPlatform Context triple: [Peterskirche (St Peter’s Church), hasNumberOfStepsToObservationPlatform, approximately 300]
-
A.
hasViewingPlatform
Indicates that an entity includes or is equipped with a designated platform or area intended for viewing or observing something.
-
B.
hasObservationDeckAccess
Indicates that an entity is permitted to enter or use an observation deck.
-
C.
hasStaircaseToSummit
Indicates that there exists a staircase providing a direct route or access from a lower point to the summit of something.
-
D.
hasPedestrianSteps
Indicates that one location or structure is connected to another by pedestrian steps or stairways.
-
E.
hasStepsLeadingTo
Indicates that one location or object is connected to another by a set of steps or a staircase leading toward it.
- 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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5cd6707c819092c9fca34f273d5e |
completed | March 31, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69cc456e806c819087e7d66ee737f242 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc46c40c54819093d174a4203f9515 |
completed | March 31, 2026, 10:12 p.m. |
Created at: March 30, 2026, 6:35 p.m.