Triple
T3811049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annemasse |
E93133
|
entity |
| Predicate | hasBorderWith |
P224
|
FINISHED |
| Object | Étrembières |
E308509
|
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: Étrembières | Statement: [Annemasse, hasBorderWith, Étrembières]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Étrembières Context triple: [Annemasse, hasBorderWith, Étrembières]
-
A.
Étrembières
chosen
Étrembières is a commune in southeastern France’s Haute-Savoie department, located near Geneva along the French-Swiss border.
-
B.
Fléron
Fléron is a municipality in eastern Belgium located in the Walloon region’s Province of Liège.
-
C.
Vallauris
Vallauris is a town in the French Riviera renowned for its pottery tradition and its association with Pablo Picasso, who lived and worked there for several years.
-
D.
Éveux
Éveux is a small commune in eastern France’s Rhône department, known for hosting Le Corbusier’s modernist monastery, the Couvent Sainte-Marie de La Tourette.
-
E.
Chamrousse
Chamrousse is a French alpine ski resort and mountain commune in the Alps, known for its winter sports facilities and scenic high-altitude landscapes.
- 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_69aed96a60088190ab1df8390fffc935 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aee80faaa88190b05f8aec8aa5c44d |
completed | March 9, 2026, 3:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb373ce4819082e2d6d6c204c392 |
completed | March 14, 2026, 6:07 a.m. |
Created at: March 9, 2026, 3:16 p.m.