Triple
T13039958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kopřivnice |
E327165
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Trappes |
—
|
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: Trappes | Statement: [Kopřivnice, hasTwinTown, Trappes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trappes Context triple: [Kopřivnice, hasTwinTown, Trappes]
-
A.
Trappes
chosen
Trappes is a suburban commune in north-central France, located in the Yvelines department within the Île-de-France region near Paris.
-
B.
Bezons
Bezons is a suburban commune in the northwestern outskirts of Paris, located in the Val-d'Oise department of the Île-de-France region in northern France.
-
C.
Créteil
Créteil is a southeastern suburb of Paris and the administrative center of the Val-de-Marne department in northern France.
-
D.
Colombes
Colombes is a suburban commune in the northwestern outskirts of Paris, France, known as a residential and historically significant town within the Île-de-France region.
-
E.
Étampes
Étampes is a historic commune and former royal town in northern France, located in the Essonne department in the Île-de-France region.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d9804d8e3081909584c93df099859a |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 8:55 p.m.