Triple
T4522602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Church (Delft) |
E103302
|
entity |
| Predicate | causeOfLeaning |
P36830
|
FINISHED |
| Object | foundation on soft soil and canal bank |
—
|
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: foundation on soft soil and canal bank | Statement: [Old Church (Delft), causeOfLeaning, foundation on soft soil and canal bank]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfLeaning Context triple: [Old Church (Delft), causeOfLeaning, foundation on soft soil and canal bank]
-
A.
causeOf
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
B.
fallCause
Indicates that one event or condition causes or brings about another event of falling or decline.
-
C.
causeOfDownfall
Indicates a factor, event, or agent that brings about the failure, ruin, or collapse of someone or something.
-
D.
displacementCause
Indicates a causal relationship where one entity is responsible for the displacement or forced movement of another entity from its original location or situation.
-
E.
causeOfWeakness
chosen
Indicates that one entity is the reason or source that brings about the weakness of another 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_69bd43dba59881908cf59b31df8c7ae1 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd574bd6908190b939d92b5809b101 |
completed | March 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69bd521cf77c819083852de3094d1377 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:02 p.m.