Triple
T11100178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yocto Project |
E262480
|
entity |
| Predicate | supportsPackageFormat |
P8463
|
FINISHED |
| Object | RPM |
E214847
|
NE 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: RPM | Statement: [Yocto Project, supportsPackageFormat, RPM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RPM Context triple: [Yocto Project, supportsPackageFormat, RPM]
-
A.
RPM
chosen
RPM is a widely used package management system originally developed for Linux distributions to build, install, and manage software packages.
-
B.
RMP
RMP is the abbreviation for the Royal Military Police, the branch of the British Army responsible for policing service personnel and maintaining military law and order.
-
C.
RDM
RDM is the IATA airport code for Redmond Municipal Airport, a commercial airport serving the Bend–Redmond area in central Oregon, USA.
-
D.
YUM
YUM is the IATA airport code for Marine Corps Air Station Yuma, a joint-use military and civilian airfield in Yuma, Arizona.
-
E.
YUM
YUM is the stock ticker symbol for Yum! Brands, the multinational fast-food corporation that owns KFC, Taco Bell, and Pizza Hut.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a29ee6c819092bc0da3f9255389 |
completed | April 9, 2026, 12:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e7f9b46881909761ed448fa5ce6e |
completed | April 18, 2026, 8:22 p.m. |
Created at: April 8, 2026, 9:27 p.m.