Triple
T6563040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central tower of York Minster |
E153832
|
entity |
| Predicate | loadBearingFor |
P71822
|
FINISHED |
| Object | crossing arches of York Minster |
—
|
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: crossing arches of York Minster | Statement: [Central tower of York Minster, loadBearingFor, crossing arches of York Minster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loadBearingFor Context triple: [Central tower of York Minster, loadBearingFor, crossing arches of York Minster]
-
A.
loadType
Indicates the manner or category of how something is loaded, such as the method, configuration, or type of loading applied in a given context.
-
B.
canBeLoadedAt
Indicates that an entity is capable of being placed onto or into another entity (such as a vehicle, container, or system) at a specific location or point in time.
-
C.
loadingMechanism
Indicates the method or system by which something is loaded into or onto another object or structure.
-
D.
hasBearingPattern
Indicates a relationship where an object or system exhibits or is characterized by a specific bearing arrangement or configuration pattern.
-
E.
cargoLoading
Indicates the action or process of placing cargo onto a vehicle, vessel, or other transport medium for shipment or movement.
- 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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6c1b15d3481908ae66e3d7564b352 |
completed | March 27, 2026, 5:43 p.m. |
| PD | Predicate disambiguation | batch_69c6acf6d4148190914b19e9affd8c76 |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6c1b007148190b5164d6d09584cdf |
completed | March 27, 2026, 5:43 p.m. |
Created at: March 27, 2026, 1:52 p.m.