Triple
T13856248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transilien line K |
E333071
|
entity |
| Predicate | servesTown |
P847
|
FINISHED |
| Object | Villeparisis |
—
|
NE NERFINISHED |
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: Villeparisis | Statement: [Transilien line K, servesTown, Villeparisis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villeparisis Context triple: [Transilien line K, servesTown, Villeparisis]
-
A.
Villeparisis
chosen
Villeparisis is a suburban commune in the Île-de-France region of north-central France, located northeast of Paris in the Seine-et-Marne department.
-
B.
Créteil
Créteil is a southeastern suburb of Paris and the administrative center of the Val-de-Marne department in northern France.
-
C.
Corbeil-Essonnes
Corbeil-Essonnes is a suburban commune in the southern outskirts of Paris, France, known as a local transport hub and residential area within the Île-de-France region.
-
D.
Bar-sur-Seine
Bar-sur-Seine is a small commune in northeastern France known for its historic architecture and location within the Champagne-producing region of the Aube department.
-
E.
Étampes
Étampes is a historic commune and former royal town in northern France, located in the Essonne department in the Île-de-France region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02dc9f488190b7181dcb7e304632 |
completed | April 14, 2026, 9:03 a.m. |
Created at: April 9, 2026, 10:14 p.m.