Triple
T11287383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris Métro Line 13 |
E267231
|
entity |
| Predicate | hasInterchangeStation |
P2413
|
FINISHED |
| Object | Miromesnil |
E414196
|
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: Miromesnil | Statement: [Paris Métro Line 13, hasInterchangeStation, Miromesnil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miromesnil Context triple: [Paris Métro Line 13, hasInterchangeStation, Miromesnil]
-
A.
Miromesnil
chosen
Miromesnil is a Paris Métro station in the 8th arrondissement, serving as an interchange between lines 9 and 13 near the Élysée Palace.
-
B.
Orgeval
Orgeval is a district in the city of Reims, France, known in part for serving as a terminus of the Reims tramway network.
-
C.
Magnicourt
Magnicourt is a small French commune located in the Aube department in the Grand Est region of northeastern France.
-
D.
Chamrousse
Chamrousse is a French alpine ski resort and mountain commune in the Alps, known for its winter sports facilities and scenic high-altitude landscapes.
-
E.
Tiffauges
Tiffauges is a historic commune in western France, known for its medieval castle and scenic setting along the Sèvre Nantaise river.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e986b0f08190a414749eaa7f1a5d |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a18ef88819095905fe726e07053 |
completed | April 19, 2026, 5 p.m. |
Created at: April 8, 2026, 9:32 p.m.