Triple
T14209027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaillot |
E352176
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Passy |
E89169
|
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: Passy | Statement: [Chaillot, borders, Passy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Passy Context triple: [Chaillot, borders, Passy]
-
A.
Passy
chosen
Passy is a Paris Métro station in the 16th arrondissement, serving Line 6 near the Trocadéro and the Seine.
-
B.
Passy
Passy is a French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region, known for its Alpine setting near Mont Blanc.
-
C.
Ville Basse
Ville Basse is the lower, more modern part of the French city of Carcassonne, known for its shops, squares, and everyday urban life in contrast to the fortified medieval citadel.
-
D.
Beaufays
Beaufays is a village in the municipality of Chaudfontaine in the province of Liège, Belgium.
-
E.
Épinal
Épinal is a historic town in northeastern France, known for its traditional image-printing industry and picturesque setting in the Vosges region.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61fa8d24819092a8ec5d34c1c799 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd19557f908190abb3dc116676f215 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:05 a.m.