Triple
T22813641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TFile |
E565045
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | ROOT framework |
—
|
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: ROOT framework | Statement: [TFile, partOf, ROOT framework]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ROOT framework Context triple: [TFile, partOf, ROOT framework]
-
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.
ObjectStudio
ObjectStudio is a commercial Smalltalk development environment and IDE, historically known for its strong Windows integration and enterprise application support.
-
C.
OSG
OSG is the abbreviated name commonly used to refer to the Office of the Secretary-General.
-
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.
Motif toolkit
Motif toolkit is a graphical user interface (GUI) toolkit for the X Window System, widely used on Unix systems to build traditional, widget-based desktop applications.
- 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.