Triple
T5431315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Seasons |
E121495
|
entity |
| Predicate | hasDimensionCharacteristic |
P44779
|
FINISHED |
| Object | large scale |
—
|
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: large scale | Statement: [The Seasons, hasDimensionCharacteristic, large scale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDimensionCharacteristic Context triple: [The Seasons, hasDimensionCharacteristic, large scale]
-
A.
hasDimension
Indicates that an entity possesses a specific measurable extent or size along one or more axes (e.g., length, width, height).
-
B.
hasDimensionality
Indicates that an entity possesses a specific number of dimensions or a particular dimensional structure.
-
C.
dimensionCharacteristic
Indicates that one entity specifies or describes a dimensional property or measurement characteristic of another entity.
-
D.
hasIndividualDimension
Indicates that an entity possesses a specific, separately identifiable dimension or measurable extent as an individual attribute.
-
E.
hasDimensionParameter
chosen
Indicates that an entity is associated with a specific dimensional parameter (such as size, length, width, or height) that characterizes its measurable extent.
- 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_69bd463c65f0819082ee6483ab4b466a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8911a7348190ad9378a248190f07 |
completed | March 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69bd846b8bdc81909dcdc2a3084226f2 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:06 p.m.