Triple
T2056078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hauts-de-Seine |
E45676
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Sceaux |
E135866
|
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: Sceaux | Statement: [Hauts-de-Seine, contains, Sceaux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sceaux Context triple: [Hauts-de-Seine, contains, Sceaux]
-
A.
Sceaux, France
chosen
Sceaux, France is a suburban commune just south of Paris, known for its historic château, formal gardens designed by André Le Nôtre, and its role as a residence of French nobility.
-
B.
Casteau
Casteau is a village in Belgium best known as the site of NATO’s Supreme Headquarters Allied Powers Europe (SHAPE).
-
C.
Cité
Cité is a Paris Métro station located on the Île de la Cité in the historic center of Paris.
-
D.
Brienne-le-Château
Brienne-le-Château is a commune in northeastern France best known as the town where Napoleon Bonaparte attended military school in his youth.
-
E.
Langeac
Langeac is a small commune in south-central France, situated in the Haute-Loire department within the Auvergne-Rhône-Alpes 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_69a8891a19508190a12ef1e192308dcb |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9a9ce548190a5a3488fafb2e79e |
completed | March 7, 2026, 5:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae200eb09881908bbfe47ebb62f55e |
completed | March 9, 2026, 1:19 a.m. |
Created at: March 4, 2026, 7:40 p.m.