Triple
T3173518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitry–Claye station |
E66408
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Mitry-Mory |
E66407
|
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: Mitry-Mory | Statement: [Mitry–Claye station, serves, Mitry-Mory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mitry-Mory Context triple: [Mitry–Claye station, serves, Mitry-Mory]
-
A.
Mitry-Mory
chosen
Mitry-Mory is a commune in the northeastern suburbs of Paris, France, known for its proximity to Charles de Gaulle Airport and its role as a residential and logistical hub in the Île-de-France region.
-
B.
Villemoustaussou
Villemoustaussou is a commune in southern France’s Aude department, known as the birthplace of Balthasar Gérard, the assassin of William the Silent.
-
C.
Moulins
Moulins is a historic town in central France known for its well-preserved medieval architecture and cultural heritage.
-
D.
La Venoge
La Venoge is a river in the canton of Vaud in western Switzerland, known for flowing into Lake Geneva and inspiring a famous Swiss poem of the same name.
-
E.
Sorpesee
Sorpesee is a popular artificial lake in the Sauerland region of Germany, known for recreation, water sports, and scenic surroundings.
- 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_69ad8586a34c8190944c63ec11a8de1a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada66facf881908b9ec687d68ce91b |
completed | March 8, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b262049a38819091efe2a322275abd |
completed | March 12, 2026, 6:49 a.m. |
Created at: March 8, 2026, 3:06 p.m.