Triple
T17960772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ODI |
E449074
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | ODI |
—
|
NE NERFINISHED |
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: ODI | Statement: [ODI, abbreviation, ODI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ODI Context triple: [ODI, abbreviation, ODI]
-
A.
ODI
ODI is the commonly used abbreviation for the Open Data Institute, a UK-based organization that advocates for and supports the use of open data to drive innovation and social impact.
-
B.
ODI
ODI (One Day International) is a limited-overs format of cricket in which each team typically faces a fixed number of overs, usually 50, and matches are completed in a single day.
-
C.
ODI
ODI is a comprehensive data integration platform by Oracle used for high-performance data movement, transformation, and loading across heterogeneous systems.
-
D.
ODI Agent
ODI Agent is a runtime component of Oracle Data Integrator responsible for executing integration jobs and orchestrating data transformation processes.
-
E.
ODI Studio
ODI Studio is the graphical development and administration client for Oracle Data Integrator, used to design, manage, and monitor data integration processes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (2 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b131fa8481908cd756f350eb6359 |
completed | April 19, 2026, 10:40 a.m. |
Created at: April 10, 2026, 10:22 a.m.