Triple
T1500158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omniture |
E29776
|
entity |
| Predicate | dataTypeProcessed |
P4241
|
FINISHED |
| Object | web traffic data |
—
|
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: web traffic data | Statement: [Omniture, dataTypeProcessed, web traffic data]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataTypeProcessed Context triple: [Omniture, dataTypeProcessed, web traffic data]
-
A.
dataTypeCollected
chosen
Indicates that a specific type or category of data is gathered or recorded in the context of an entity or process.
-
B.
datumType
Indicates the specific kind or category of data that characterizes or classifies a datum.
-
C.
trainingDataType
Indicates the type or category of data used for training a model, system, or process.
-
D.
dataTypeVerified
Indicates that the data’s type has been checked and confirmed to match the expected or required type.
-
E.
semanticType
Indicates that something belongs to or is categorized under a particular semantic class or type based on its meaning.
- 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_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6f2d7f881909188a3e5614335cd |
completed | March 1, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69a4c48a8cf48190a6ebf8d44a608a06 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:12 p.m.