Triple
T8718945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | north transept of Notre-Dame de Paris |
E206963
|
entity |
| Predicate | formsPartOfPlan |
P29774
|
FINISHED |
| Object | cruciform ground plan of Notre-Dame de Paris |
—
|
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: cruciform ground plan of Notre-Dame de Paris | Statement: [north transept of Notre-Dame de Paris, formsPartOfPlan, cruciform ground plan of Notre-Dame de Paris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsPartOfPlan Context triple: [north transept of Notre-Dame de Paris, formsPartOfPlan, cruciform ground plan of Notre-Dame de Paris]
-
A.
partOfPlan
chosen
Indicates that one entity is included as a component or step within a broader plan or strategy.
-
B.
partOfUrbanPlanBy
Indicates that something is included as a component or element within an urban plan created or overseen by a specified agent.
-
C.
partOfCityPlan
Indicates that something is included as a component or element within a broader city planning scheme or framework.
-
D.
bodyPlan
Indicates the overall structural organization and arrangement of an organism’s body, including the layout and relationship of its major parts.
-
E.
plannedWith
Indicates that an entity created or arranged a plan in collaboration or coordination with 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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d014e208190a4c6055901580d0c |
completed | March 31, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69cc456e806c819087e7d66ee737f242 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:36 p.m.