Triple
T6292764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish Colonial architecture |
E141057
|
entity |
| Predicate | hasTypicalDecorativeElement |
P38145
|
FINISHED |
| Object | wrought iron grille |
—
|
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: wrought iron grille | Statement: [Spanish Colonial architecture, hasTypicalDecorativeElement, wrought iron grille]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalDecorativeElement Context triple: [Spanish Colonial architecture, hasTypicalDecorativeElement, wrought iron grille]
-
A.
hasDecor
chosen
Indicates that one entity possesses, features, or is adorned with a particular decorative element or style.
-
B.
typeOfDecoration
Indicates the specific kind or style of decoration associated with an entity or applied in a given context.
-
C.
hasOrnamentation
Indicates that an entity possesses decorative features or embellishments applied to its surface or structure.
-
D.
isNonCombatDecoration
Indicates that an award or decoration is given for non-combat service or achievements rather than for participation in direct combat.
-
E.
numberOfDecorativeJewels
Indicates the count of decorative jewels associated with or present on a given 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.