Triple
T35982122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CJTR |
E1040596
|
entity |
| Predicate | contentDiversity |
P14432
|
FINISHED |
| Object | high |
—
|
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 | Statement: [CJTR, contentDiversity, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contentDiversity Context triple: [CJTR, contentDiversity, high]
-
A.
contentIs
Indicates that one entity serves as, or is equivalent to, the content contained within another entity.
-
B.
diversity
chosen
Indicates the degree to which a set of entities differs along one or more dimensions such as type, attributes, or characteristics.
-
C.
contentLevel
Indicates the degree or intensity of substance, complexity, or richness present in the associated content.
-
D.
supportsDiversity
Indicates that one entity actively promotes, encourages, or upholds diversity in or for another entity.
-
E.
contentCharacterization
Indicates that one entity characterizes, describes, or classifies the content or informational nature 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_69f76e28293c8190ae3f4e2208b87117 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fbaebc8f2c8190b94f1b4a3ec92e8c |
completed | May 6, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.