Triple
T3405969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris Métro Line 10 |
E71771
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Cardinal Lemoine station |
E264075
|
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: Cardinal Lemoine station | Statement: [Paris Métro Line 10, hasStation, Cardinal Lemoine station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cardinal Lemoine station Context triple: [Paris Métro Line 10, hasStation, Cardinal Lemoine station]
-
A.
Girard station
Girard station is a subway stop in Philadelphia, Pennsylvania, serving passengers on SEPTA’s Broad Street Line.
-
B.
Cardinal Lemoine metro station
chosen
Cardinal Lemoine metro station is a Paris Métro station in the Latin Quarter, serving Line 10 near the Panthéon and several major universities.
-
C.
Dupont station
Dupont station is a Toronto Transit Commission subway station on Line 1, located in the Annex area of Toronto, Canada.
-
D.
St. Denis station
St. Denis station is a MARC commuter rail stop in Maryland serving passengers on the Camden Line between Washington, D.C., and Baltimore.
-
E.
Place d’Italie station
Place d’Italie station is a major Paris Métro interchange in the 13th arrondissement, serving as a key hub for several metro lines and local bus connections.
- 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_69ad85aac4808190a092c9cc8911f584 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb8ec68c88190913df5f6cafad9e9 |
completed | March 8, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bd8c0ec8190bd44d33fc031c845 |
completed | March 12, 2026, 11:27 p.m. |
Created at: March 8, 2026, 3:15 p.m.