Triple
T21385475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mielec |
E527482
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | RMI |
—
|
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: RMI | Statement: [Mielec, vehicleRegistrationCode, RMI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RMI Context triple: [Mielec, vehicleRegistrationCode, RMI]
-
A.
RMI
chosen
RMI is the commonly used abbreviation for the Republic of the Marshall Islands, a Pacific island nation composed of atolls and islands.
-
B.
RMI
RMI is an institute at the University of California, Davis dedicated to research, education, and outreach in wine, food science, and related disciplines.
-
C.
RMI
RMI is the official abbreviation for the Israel Land Authority, the government body responsible for managing most of Israel’s land resources.
-
D.
RMI
RMI is a nonprofit research and consulting organization focused on accelerating the global transition to clean energy and improving energy efficiency.
-
E.
Java RMI
Java RMI is a Java-based distributed object technology that enables remote method invocation between JVMs, allowing objects in different processes or networked machines to communicate as if they were local.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee62c9494081909efa74e189454dc6 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 16, 2026, 5:12 p.m.