Triple
T2668646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidential standard of Peru |
E55696
|
entity |
| Predicate | fieldDesign |
P41570
|
FINISHED |
| Object | vertical triband red‑white‑red |
—
|
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: vertical triband red‑white‑red | Statement: [Presidential standard of Peru, fieldDesign, vertical triband red‑white‑red]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldDesign Context triple: [Presidential standard of Peru, fieldDesign, vertical triband red‑white‑red]
-
A.
landscapeDesignedBy
Indicates that a particular landscape or outdoor environment was planned, created, or shaped by a specific designer or design entity.
-
B.
fieldSide
Indicates the relative side or position of something with respect to a defined field or playing area.
-
C.
fieldSize
Indicates the magnitude or dimensions of a field associated with an entity or context.
-
D.
fieldQuality
Indicates the assessed level or degree of quality associated with a particular field or attribute in a given context.
-
E.
gardenFeature
Indicates that one entity serves as a feature, element, or component within a garden associated with another entity.
- 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_69ab49e54de48190be708cd1cf8be073 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd98bacf48190b5633f1a3ec8f0cf |
completed | March 7, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69abd8190ad481908f3e14ac84d0940a |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd8f98c348190a68064c565589459 |
completed | March 7, 2026, 7:51 a.m. |
Created at: March 6, 2026, 9:54 p.m.