Triple
T19183091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nice-Ville station |
E469626
|
entity |
| Predicate | lineServed |
P6301
|
FINISHED |
| Object | PLM main line |
—
|
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: PLM main line | Statement: [Nice-Ville station, lineServed, PLM main line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PLM main line Context triple: [Nice-Ville station, lineServed, PLM main line]
-
A.
PLM main line
chosen
The PLM main line is the historic principal railway route of the former Paris–Lyon–Mediterranean (PLM) company, connecting Paris with southeastern France and the Mediterranean coast.
-
B.
PLM
PLM is a public university in Manila, Philippines, known for offering affordable, high-quality education primarily to the city’s deserving residents.
-
C.
PLM
PLM is the IATA airport code for Sultan Mahmud Badaruddin II International Airport serving Palembang, Indonesia.
-
D.
PDM
PDM is the station code for Plandome station on the Long Island Rail Road in New York.
-
E.
PDM
PDM is a modern Python package and dependency manager that emphasizes PEP 582 support and a streamlined, pyproject.toml-based workflow.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f61e1c248190ba9e220c1be61ef8 |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 10, 2026, 12:07 p.m.