Triple
T12267919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chapel of Our Lady of Light |
E292392
|
entity |
| Predicate | materialUsedInStaircase |
P104137
|
FINISHED |
| Object | wood |
—
|
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: wood | Statement: [Chapel of Our Lady of Light, materialUsedInStaircase, wood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: materialUsedInStaircase Context triple: [Chapel of Our Lady of Light, materialUsedInStaircase, wood]
-
A.
materialUsed
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
B.
streetMaterial
Indicates the material composition from which a street or road surface is made.
-
C.
brickTypeUsedFor
Indicates that a particular type of brick is used for constructing or forming a specified object, structure, or component.
-
D.
hasFloorMaterial
Indicates that an entity’s floor is made of, covered with, or constructed from a specified material.
-
E.
hasStairway
Indicates that one entity includes or is connected to another entity by a stairway providing vertical access between levels.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d9380a5e78819086bd4dfe9a83d1f5 |
completed | April 10, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69d91c4a66cc819083ce6fcaf5042af6 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d93805cee08190a532ebcf5908e617 |
completed | April 10, 2026, 5:48 p.m. |
Created at: April 8, 2026, 9:52 p.m.