Triple
T10826235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | discuss.python.org |
E255503
|
entity |
| Predicate | hasSection |
P35
|
FINISHED |
| Object | PSF |
E51019
|
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: PSF | Statement: [discuss.python.org, hasSection, PSF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PSF Context triple: [discuss.python.org, hasSection, PSF]
-
A.
PSF
chosen
PSF is the acronym for the Python Software Foundation, the nonprofit organization that manages and promotes the Python programming language and its community.
-
B.
PFS
PFS is a planetary Fourier spectrometer used on the Venus Express mission to analyze the composition and structure of Venus’s atmosphere.
-
C.
PFS
PFS is a multi-object, wide-field optical and near-infrared spectrograph designed for large-scale astronomical surveys on the Subaru Telescope.
-
D.
PFS
PFS (Planetary Fourier Spectrometer) is a scientific instrument designed to analyze the Martian atmosphere’s composition and temperature structure using infrared spectroscopy aboard the Mars Express spacecraft.
-
E.
PFSO
PFSO is the designated security professional responsible for developing, implementing, and overseeing security measures at a port facility in accordance with maritime security regulations.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d734d1c24881909f56d56207cccbef |
completed | April 9, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de858672d8819094baf4fe98b8dea4 |
completed | April 14, 2026, 6:20 p.m. |
Created at: April 8, 2026, 9:19 p.m.