Triple
T15242756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CareerBuilder (stake) |
E364298
|
entity |
| Predicate | valuationDependsOn |
P17142
|
FINISHED |
| Object | CareerBuilder revenue |
—
|
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: CareerBuilder revenue | Statement: [CareerBuilder (stake), valuationDependsOn, CareerBuilder revenue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: valuationDependsOn Context triple: [CareerBuilder (stake), valuationDependsOn, CareerBuilder revenue]
-
A.
valuationDescription
Indicates that a textual explanation or narrative is provided describing how an entity has been valued or appraised.
-
B.
valuationStatus
Indicates the current state or condition of an entity’s assessed value within a valuation process (e.g., pending, active, finalized, or invalid).
-
C.
valuedBy
Indicates that one entity is regarded as important, useful, or held in high esteem by another entity.
-
D.
evaluationBasis
chosen
Indicates the criteria, standards, or reference framework used to judge, assess, or measure something in an evaluation process.
-
E.
qualityDependsOn
Indicates that the quality or performance of one entity is determined or influenced by the characteristics or state 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007dcc33081908545ea1a1d2c19fe |
completed | April 15, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69deca899d5c8190be4a7c71e1683c69 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:13 a.m.