Triple
T15185104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melun Prison |
E362850
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Melun |
—
|
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: Melun | Statement: [Melun Prison, locatedIn, Melun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melun Context triple: [Melun Prison, locatedIn, Melun]
-
A.
Melun
chosen
Melun is a historic commune in the Île-de-France region of north-central France, known as a regional administrative center and former royal town southeast of Paris.
-
B.
Blois
Blois is a historic city in central France known for its Renaissance château, picturesque setting on the Loire River, and rich royal heritage.
-
C.
Meaux
Meaux is a historic commune in the Île-de-France region of north-central France, known for its cathedral, World War I heritage, and production of Brie de Meaux cheese.
-
D.
Poissy
Poissy is a commune in the western suburbs of Paris, France, known for hosting Le Corbusier’s iconic modernist Villa Savoye.
-
E.
Pithiviers
Pithiviers is a small town in north-central France known for its historical architecture and traditional French pastries.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006674c088190ba635a78c30f5637 |
completed | April 15, 2026, 9:43 p.m. |
Created at: April 10, 2026, 3:09 a.m.