Triple
T8706094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bridge at Villeneuve-la-Garenne |
E206653
|
entity |
| Predicate | depicts |
P1581
|
FINISHED |
| Object | Villeneuve-la-Garenne |
E259630
|
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: Villeneuve-la-Garenne | Statement: [The Bridge at Villeneuve-la-Garenne, depicts, Villeneuve-la-Garenne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villeneuve-la-Garenne Context triple: [The Bridge at Villeneuve-la-Garenne, depicts, Villeneuve-la-Garenne]
-
A.
Villeneuve-la-Garenne
chosen
Villeneuve-la-Garenne is a suburban commune in the northern part of the Paris metropolitan area in France.
-
B.
Gournay-le-Guérin
Gournay-le-Guérin is a small commune in the Eure department of northern France.
-
C.
Arnouville
Arnouville is a commune in the Val-d'Oise department in the northern suburbs of Paris, France.
-
D.
Villeneuve-Saint-Georges
Villeneuve-Saint-Georges is a suburban commune in the southeastern outskirts of Paris, France, known for its major railway junction and diverse residential neighborhoods.
-
E.
Chelles–Gournay
Chelles–Gournay is a suburban railway station in the eastern Paris metropolitan area that serves as the outer terminus of RER line E.
- 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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58fcac748190a82b57aeb7c43df9 |
completed | March 31, 2026, 11:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdb7875448190a2478cbb623c31e6 |
completed | April 3, 2026, 3:23 p.m. |
Created at: March 30, 2026, 6:35 p.m.