Triple
T6292753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish Colonial architecture |
E141057
|
entity |
| Predicate | hasTypicalWallFinish |
P24063
|
FINISHED |
| Object | whitewashed stucco |
—
|
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: whitewashed stucco | Statement: [Spanish Colonial architecture, hasTypicalWallFinish, whitewashed stucco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalWallFinish Context triple: [Spanish Colonial architecture, hasTypicalWallFinish, whitewashed stucco]
-
A.
hasOutfieldWallCovering
Indicates that an outfield wall is covered or surfaced with a particular material or type of covering.
-
B.
typicalFinish
Indicates that an action, process, or event commonly or characteristically ends with a particular outcome or state.
-
C.
wallMaterial
chosen
Indicates that one entity is the material from which a wall or walls of another entity are constructed.
-
D.
hasWallTileColor
Indicates that an entity’s wall tiles possess a specific color.
-
E.
hasWallType
Indicates the specific kind or classification of wall associated with an 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0642017588190b6c99c685653f6c2 |
completed | March 22, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69c060df0d8881908215575862ef6831 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:27 p.m.