Triple
T11716742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerdanya |
E278517
|
entity |
| Predicate | majorTown |
P316
|
FINISHED |
| Object | Bourg-Madame |
E928266
|
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: Bourg-Madame | Statement: [Cerdanya, majorTown, Bourg-Madame]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bourg-Madame Context triple: [Cerdanya, majorTown, Bourg-Madame]
-
A.
Bourg-Madame
chosen
Bourg-Madame is a small French commune in the Pyrénées-Orientales department, situated on the border with Spain in the Cerdagne region.
-
B.
Boussy-Saint-Antoine
Boussy-Saint-Antoine is a suburban commune in the Essonne department in the Île-de-France region of northern France.
-
C.
Marche-les-Dames
Marche-les-Dames is a village in the Namur province of Belgium, best known as the site where King Albert I died in a mountaineering accident.
-
D.
Saint-Mesmes
Saint-Mesmes is a small rural commune in the Seine-et-Marne department in the Île-de-France region of north-central France.
-
E.
Saint-Jorioz
Saint-Jorioz is a picturesque commune in southeastern France, known for its lakeside setting, beaches, and outdoor recreation in the Alps 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4c10d988190842acd824135cf15 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f08fed49fc8190951ff3af6bd51050 |
completed | April 28, 2026, 10:46 a.m. |
Created at: April 8, 2026, 9:40 p.m.