Triple
T35915959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delta Lake storage layer |
E1038749
|
entity |
| Predicate | transactionLogFormat |
P199990
|
FINISHED |
| Object | JSON |
—
|
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: JSON | Statement: [Delta Lake storage layer, transactionLogFormat, JSON]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transactionLogFormat Context triple: [Delta Lake storage layer, transactionLogFormat, JSON]
-
A.
transactionModel
Indicates a relationship where an entity uses or is governed by a specific structured framework or schema for conducting, recording, or managing transactions.
-
B.
transactionField
Indicates that a specific data field is associated with, or belongs to, a particular transaction.
-
C.
transaction
Indicates a transfer of value or assets between parties, typically involving an exchange such as payment for goods or services.
-
D.
transactionRole
Indicates the specific function or capacity an entity assumes within a transaction (such as buyer, seller, payer, or recipient).
-
E.
temporaryFormat
Indicates a relationship where something is given a non-permanent or provisional format, structure, or representation intended only for temporary use.
- F. None of above. chosen
Provenance (4 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff691f5ae481908597ce245188d31c |
completed | May 9, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69ff67ceeeb081909fd00cad166c4b6a |
completed | May 9, 2026, 4:58 p.m. |
| PDg | Predicate description generation | batch_69ff691e86d0819099fdb5eca5a95632 |
completed | May 9, 2026, 5:04 p.m. |
Created at: May 3, 2026, 4:07 p.m.