Triple
T10847442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transilien Line N |
E256049
|
entity |
| Predicate | servesTown |
P847
|
FINISHED |
| Object |
Villiers-Saint-Frédéric
Villiers-Saint-Frédéric is a small commune in the Yvelines department of north-central France, located in the western suburbs of Paris.
|
E899921
|
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: Villiers-Saint-Frédéric | Statement: [Transilien Line N, servesTown, Villiers-Saint-Frédéric]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villiers-Saint-Frédéric Context triple: [Transilien Line N, servesTown, Villiers-Saint-Frédéric]
-
A.
Boussy-Saint-Antoine
Boussy-Saint-Antoine is a suburban commune in the Essonne department in the Île-de-France region of northern France.
-
B.
Friville-Escarbotin
Friville-Escarbotin is a commune in northern France known for its location in the Somme department within the Hauts-de-France region.
-
C.
Verrières
Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
-
D.
Brière
Brière is a French-language surname most prominently associated with former NHL player and current hockey executive Daniel Brière.
-
E.
Fougères
Fougères is a historic town in Brittany, northwestern France, known for its impressive medieval castle and well-preserved old quarter.
- 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: Villiers-Saint-Frédéric Triple: [Transilien Line N, servesTown, Villiers-Saint-Frédéric]
Generated description
Villiers-Saint-Frédéric is a small commune in the Yvelines department of north-central France, located in the western suburbs of Paris.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Villiers-Saint-Frédéric Target entity description: Villiers-Saint-Frédéric is a small commune in the Yvelines department of north-central France, located in the western suburbs of Paris.
-
A.
Boussy-Saint-Antoine
Boussy-Saint-Antoine is a suburban commune in the Essonne department in the Île-de-France region of northern France.
-
B.
Friville-Escarbotin
Friville-Escarbotin is a commune in northern France known for its location in the Somme department within the Hauts-de-France region.
-
C.
Verrières
Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
-
D.
Brière
Brière is a French-language surname most prominently associated with former NHL player and current hockey executive Daniel Brière.
-
E.
Fougères
Fougères is a historic town in Brittany, northwestern France, known for its impressive medieval castle and well-preserved old quarter.
- 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_69e373d238b88190a6f44fecfb64410c |
completed | April 18, 2026, 12:06 p.m. |
| NEDg | Description generation | batch_69e37ab6ca788190ac41f9494ad9a47f |
completed | April 18, 2026, 12:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e37c9439fc8190a69cfb1a13da4c19 |
completed | April 18, 2026, 12:44 p.m. |
Created at: April 8, 2026, 9:20 p.m.