Triple
T13856247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transilien line K |
E333071
|
entity |
| Predicate | servesTown |
P847
|
FINISHED |
| Object | Sevran |
—
|
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: Sevran | Statement: [Transilien line K, servesTown, Sevran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sevran Context triple: [Transilien line K, servesTown, Sevran]
-
A.
Sevran
chosen
Sevran is a northeastern suburb of Paris in the Seine-Saint-Denis department of France, known for its urban residential areas and proximity to major transport routes and waterways.
-
B.
Vanves
Vanves is a suburban commune in the southwestern outskirts of Paris, France, known for its dense residential character and proximity to the capital.
-
C.
Arcueil
Arcueil is a suburban commune in the southern outskirts of Paris, France, known historically as a residential area for notable scientists and intellectuals.
-
D.
Arcueil
Arcueil is a small river in France that serves as a tributary of the Alagnon.
-
E.
Sarcelles
Sarcelles is a northern suburb of Paris in the Île-de-France region, known for its large housing estates and diverse, multicultural population.
- 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.