Triple
T18724916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WARC |
E457874
|
entity |
| Predicate | payloadFormat |
P8440
|
FINISHED |
| Object | binary or text payloads |
—
|
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: binary or text payloads | Statement: [WARC, payloadFormat, binary or text payloads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: payloadFormat Context triple: [WARC, payloadFormat, binary or text payloads]
-
A.
payloadType
chosen
Indicates the kind or category of payload associated with or carried by an entity or action.
-
B.
payloadField
Indicates that one entity specifies or refers to a particular field within a payload structure associated with another entity.
-
C.
payloadCustomer
Indicates that a customer is associated with or carried as the payload within a given data structure, message, or transaction.
-
D.
payloadRole
Indicates the functional role or purpose that a payload has within a system, process, or interaction.
-
E.
packageFormat
Indicates the format or type in which a package is structured, encoded, or delivered.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d72d2c4819080b0d31860976b5e |
completed | April 20, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69e48d03766c8190a43f7681842f4f8d |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:50 a.m.