Triple
T15242815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Classified Ventures (stake) |
E364299
|
entity |
| Predicate | valueDriver |
P52991
|
FINISHED |
| Object | growth of online classifieds market |
—
|
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: growth of online classifieds market | Statement: [Classified Ventures (stake), valueDriver, growth of online classifieds market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: valueDriver Context triple: [Classified Ventures (stake), valueDriver, growth of online classifieds market]
-
A.
valueSystem
Indicates that one entity embodies, adheres to, or is characterized by a particular set of values, principles, or evaluative standards defined by another entity.
-
B.
value
Indicates that one entity possesses, represents, or corresponds to a particular quantity, quality, or assigned worth.
-
C.
possibleDriver
chosen
Indicates that an entity is a candidate or potential driver of another entity, such as a possible cause, regulator, or influencing factor.
-
D.
driveType
Indicates the type or configuration of the drive mechanism used to power or propel an entity.
-
E.
driverType
Indicates the category or role of a driver associated with an entity or activity (e.g., primary, backup, commercial, etc.).
- 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.