Triple
T1977611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Open Window |
E42950
|
entity |
| Predicate | hasDimensionType |
P5533
|
FINISHED |
| Object | vertical format |
—
|
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 format | Statement: [The Open Window, hasDimensionType, vertical format]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDimensionType Context triple: [The Open Window, hasDimensionType, vertical format]
-
A.
hasDimension
Indicates that an entity possesses a specific measurable extent or size along one or more axes (e.g., length, width, height).
-
B.
dimensionType
chosen
Indicates the specific kind or category of dimension that characterizes how something is measured or structured.
-
C.
hasIndicatorDimension
Indicates that an indicator is associated with a specific dimension or aspect along which it is measured or evaluated.
-
D.
hasDimensionForForce
Indicates that one entity specifies or defines the dimensional characteristics associated with a force-related quantity of another entity.
-
E.
hasNationalDimension
Indicates that something possesses a scope, relevance, or impact at the level of a nation or entire country.
- 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_69a8871289048190b00b0d7744b7b2b1 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb42ecde881909bc9132885d8d0bd |
completed | March 7, 2026, 5:14 a.m. |
| PD | Predicate disambiguation | batch_69abaff9a09c8190a81fa13f4b85bc79 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.