Triple
T10847443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transilien Line N |
E256049
|
entity |
| Predicate | servesTown |
P847
|
FINISHED |
| Object |
Montfort-l'Amaury–Méré
Montfort-l'Amaury–Méré is a railway station in north-central France that connects the towns of Montfort-l'Amaury and Méré to the Paris suburban rail network.
|
E891678
|
NE FINISHED |
How this triple was built (4 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: Montfort-l'Amaury–Méré | Statement: [Transilien Line N, servesTown, Montfort-l'Amaury–Méré]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montfort-l'Amaury–Méré Context triple: [Transilien Line N, servesTown, Montfort-l'Amaury–Méré]
-
A.
Montbazon
Montbazon is a small commune in central France’s Indre-et-Loire department, known for its historic fortress and picturesque setting along the Indre River.
-
B.
Ermontoise
Ermontoise is the French demonym referring to a female inhabitant or native of the town of Ermont in France.
-
C.
Beaucourt
Beaucourt is a small French commune located in the northeastern region of Bourgogne-Franche-Comté near the Swiss border.
-
D.
Les Mureaux
Les Mureaux is a suburban commune in north-central France known for its aerospace industry and location along the Seine, west of Paris.
-
E.
Dreux
Dreux is a historic town in northern France known for its royal chapel and role as a regional center in the Eure-et-Loir department.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Montfort-l'Amaury–Méré Triple: [Transilien Line N, servesTown, Montfort-l'Amaury–Méré]
Generated description
Montfort-l'Amaury–Méré is a railway station in north-central France that connects the towns of Montfort-l'Amaury and Méré to the Paris suburban rail network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Montfort-l'Amaury–Méré Target entity description: Montfort-l'Amaury–Méré is a railway station in north-central France that connects the towns of Montfort-l'Amaury and Méré to the Paris suburban rail network.
-
A.
Montbazon
Montbazon is a small commune in central France’s Indre-et-Loire department, known for its historic fortress and picturesque setting along the Indre River.
-
B.
Ermontoise
Ermontoise is the French demonym referring to a female inhabitant or native of the town of Ermont in France.
-
C.
Beaucourt
Beaucourt is a small French commune located in the northeastern region of Bourgogne-Franche-Comté near the Swiss border.
-
D.
Les Mureaux
Les Mureaux is a suburban commune in north-central France known for its aerospace industry and location along the Seine, west of Paris.
-
E.
Dreux
Dreux is a historic town in northern France known for its royal chapel and role as a regional center in the Eure-et-Loir department.
- F. None of above. chosen
Provenance (5 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75113bc188190ac78df0c51d95de6 |
completed | April 9, 2026, 7:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e154b2eb08819080a9905dbf378111 |
completed | April 16, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69e174d962ec8190a0ef8442e3414a8d |
completed | April 16, 2026, 11:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e1777c0a308190bb5dc5e64cb51af3 |
completed | April 16, 2026, 11:57 p.m. |
Created at: April 8, 2026, 9:20 p.m.