Triple
T15283296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transilien line D |
E365326
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object | Goussainville |
E152397
|
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: Goussainville | Statement: [Transilien line D, terminus, Goussainville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goussainville Context triple: [Transilien line D, terminus, Goussainville]
-
A.
Goussainville
chosen
Goussainville is a suburban commune in the Val-d'Oise department in northern France, known for its proximity to Paris Charles de Gaulle Airport and its mix of residential and commercial areas.
-
B.
Villiers-sur-Marne
Villiers-sur-Marne is a suburban commune in the eastern outskirts of Paris, France, known for its residential character within the planned new town of Marne-la-Vallée.
-
C.
Villeneuve-la-Garenne
Villeneuve-la-Garenne is a suburban commune in the northern part of the Paris metropolitan area in France.
-
D.
Arnouville
Arnouville is a commune in the Val-d'Oise department in the northern suburbs of Paris, France.
-
E.
Saintry-sur-Seine
Saintry-sur-Seine is a small commune in the Essonne department of the Île-de-France region in northern France, situated along the Seine River.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e53c9588190a6cb61ac8805c706 |
completed | April 15, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0167369d9481909015c34d475fac14 |
completed | May 11, 2026, 5:20 a.m. |
Created at: April 10, 2026, 3:15 a.m.