Triple
T1977589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Open Window |
E42950
|
entity |
| Predicate | madeIn |
P3992
|
FINISHED |
| Object | Collioure |
E71734
|
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: Collioure | Statement: [The Open Window, madeIn, Collioure]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Collioure Context triple: [The Open Window, madeIn, Collioure]
-
A.
Collioure
chosen
Collioure is a picturesque coastal town in southern France renowned for its vibrant light and colors that inspired Fauvist painters such as Henri Matisse.
-
B.
Leucate
Leucate is a coastal commune in southern France known for its Mediterranean beaches, wind sports, and scenic limestone cliffs.
-
C.
Antibes
Antibes is a historic resort town on the French Riviera known for its Mediterranean coastline, old town, and association with artists such as Pablo Picasso.
-
D.
Argelès-sur-Mer
Argelès-sur-Mer is a coastal resort town in southern France known for its long Mediterranean beaches and proximity to the Pyrenees.
-
E.
Frontignan
Frontignan is a coastal commune in southern France known for its Muscat wine production and Mediterranean setting near Sète.
- 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_69a8871289048190b00b0d7744b7b2b1 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb42ecde881909bc9132885d8d0bd |
completed | March 7, 2026, 5:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6ae66fe08190be75c18f0916f23b |
completed | March 9, 2026, 6:38 a.m. |
Created at: March 4, 2026, 7:36 p.m.