Triple
T19896402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | i (newspaper) |
E478162
|
entity |
| Predicate | pageDesign |
P133048
|
FINISHED |
| Object | high story density |
—
|
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: high story density | Statement: [i (newspaper), pageDesign, high story density]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pageDesign Context triple: [i (newspaper), pageDesign, high story density]
-
A.
frontDesign
Indicates that one entity serves as the primary or visible front-facing design or appearance of another entity.
-
B.
designBureau
Indicates that an entity functions as a design bureau responsible for planning, developing, or engineering designs for another entity or project.
-
C.
productionDesign
Indicates that one entity is responsible for the overall visual and physical design of a production (such as a film, TV show, or stage performance) for another entity.
-
D.
helpsDesign
Indicates that one entity assists or contributes to another entity’s design or design process.
-
E.
designAspect
chosen
Indicates that one entity represents a particular design-related feature, characteristic, or consideration of 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6593dba78819082c8b80e65246171 |
completed | April 20, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69e537ecda248190895c96afb6243823 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:52 p.m.