Triple
T22813655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TFile |
E565045
|
entity |
| Predicate | belongsToModule |
P128514
|
FINISHED |
| Object | RIO (ROOT I/O) |
—
|
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: RIO (ROOT I/O) | Statement: [TFile, belongsToModule, RIO (ROOT I/O)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RIO (ROOT I/O) Context triple: [TFile, belongsToModule, RIO (ROOT I/O)]
-
A.
ROOT
chosen
ROOT is a widely used object-oriented data analysis framework and file format developed at CERN for storing, processing, and visualizing large volumes of high-energy physics data.
-
B.
RMF Distributed Data Server
RMF Distributed Data Server is a z/OS component that collects, consolidates, and serves performance and resource usage data from multiple systems for monitoring and analysis.
-
C.
RCS Library
The RCS Library is a specialist research collection focused on the history, culture, and politics of the Commonwealth and the former British Empire.
-
D.
C-root
C-root is one of the thirteen authoritative DNS root servers that provide the foundation for resolving domain names on the global internet.
-
E.
OSG
OSG is the abbreviated name commonly used to refer to the Office of the Secretary-General.
- 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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d62b0ec8190ac22909192e8a876 |
completed | April 29, 2026, 3:39 a.m. |
Created at: April 17, 2026, 3:32 p.m.