Triple
T4725818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sèvres |
E104880
|
entity |
| Predicate | twinnedWith |
P1072
|
FINISHED |
| Object | Menton |
E194030
|
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: Menton | Statement: [Sèvres, twinnedWith, Menton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Menton Context triple: [Sèvres, twinnedWith, Menton]
-
A.
Menton
chosen
Menton is a picturesque coastal town on the French Riviera near the Italian border, known for its mild climate, gardens, and lemon festival.
-
B.
Hyères
Hyères is a coastal town in southeastern France known for its Mediterranean climate, historic old town, and nearby Golden Islands (Îles d’Hyères).
-
C.
Villefranche-sur-Mer
Villefranche-sur-Mer is a picturesque coastal town in southeastern France known for its deep natural harbor, colorful old town, and scenic setting on the Mediterranean Sea.
-
D.
Fréjus
Fréjus is a historic town and seaside resort on the French Riviera in southeastern France, known for its Roman ruins and Mediterranean coastline.
-
E.
Roquebrune-sur-Argens
Roquebrune-sur-Argens is a commune in southeastern France’s Var department, known for its picturesque medieval village, red sandstone rock formations, and proximity to the Mediterranean coast.
- 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_69bd43ed84648190ae0b7ee8e8d00482 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6446b42081908e023979c9685730 |
completed | March 20, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be922a8fc08190ad2dd4ffc1697f08 |
completed | March 21, 2026, 12:42 p.m. |
Created at: March 20, 2026, 1:18 p.m.