Triple
T4275932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IronPython |
E97047
|
entity |
| Predicate | targetPlatform |
P5090
|
FINISHED |
| Object | Mono |
E182226
|
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: Mono | Statement: [IronPython, targetPlatform, Mono]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mono Context triple: [IronPython, targetPlatform, Mono]
-
A.
Mono
chosen
Mono is an open-source, cross-platform implementation of Microsoft's .NET framework that enables running .NET applications on multiple operating systems.
-
B.
Mono
Mono is a Native American language of the Numic branch of the Uto-Aztecan language family, traditionally spoken in parts of California.
-
C.
Monotones
Monotones is a minimalist, neoclassical ballet choreographed by Frederick Ashton, renowned for its geometric precision and ethereal atmosphere.
-
D.
Stereo
"Stereo" is an indie rock song by the American band Pavement, known for its offbeat lyrics and inclusion on their 1997 album "Brighten the Corners."
-
E.
Metro
Metro is the primary public transportation agency serving Los Angeles County, operating buses, light rail, subway, and other transit services across the region.
- 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3501d677481909e7416a1d2b0008c |
completed | March 12, 2026, 11:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b7b3b52c8190ae7c05448faf5558 |
completed | March 14, 2026, 7:32 p.m. |
Created at: March 12, 2026, 11:07 p.m.