Triple
T8731366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MF 77 |
E207261
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | Jeumont-Schneider |
E410190
|
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: Jeumont-Schneider | Statement: [MF 77, manufacturer, Jeumont-Schneider]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeumont-Schneider Context triple: [MF 77, manufacturer, Jeumont-Schneider]
-
A.
Jeumont-Schneider
chosen
Jeumont-Schneider was a French industrial and engineering company known for producing electrical equipment and rolling stock, including subway cars.
-
B.
Breuillet
Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
-
C.
Vétraz-Monthoux
Vétraz-Monthoux is a commune in the Haute-Savoie department of southeastern France, situated near the Swiss border in the urban area of Annemasse.
-
D.
Marignier
Marignier is a commune in the Haute-Savoie department of southeastern France, situated in the French Alps.
-
E.
Oberkampf
Oberkampf is a Paris Métro station in the 11th arrondissement, serving as an interchange between lines 5 and 9 near the lively Oberkampf district.
- 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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d27efb88190b42d5bc9774d9c63 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf292d71ec819082095cb7b8b2d39c |
completed | April 3, 2026, 2:42 a.m. |
Created at: March 30, 2026, 6:37 p.m.