Triple
T16162376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Gaulois |
E392208
|
entity |
| Predicate | hasTitleInOriginalLanguage |
P13516
|
FINISHED |
| Object | Le Gaulois |
E392208
|
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: Le Gaulois | Statement: [Le Gaulois, hasTitleInOriginalLanguage, Le Gaulois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Gaulois Context triple: [Le Gaulois, hasTitleInOriginalLanguage, Le Gaulois]
-
A.
Le Gaulois
chosen
Le Gaulois was a 19th- and early 20th-century French daily newspaper known for its literary and political content.
-
B.
Giant of Provence
Giant of Provence is the famous, towering mountain in southeastern France renowned for its challenging climbs and frequent appearances in the Tour de France.
-
C.
Three Gauls
The Three Gauls were a major Roman administrative division in ancient Gaul, comprising the provinces of Aquitania, Belgica, and Lugdunensis.
-
D.
De Gautet
De Gautet is a fictional henchman and ally of Duke Michael of Strelsau in Anthony Hope’s adventure novel "The Prisoner of Zenda."
-
E.
Bouclier de Brennus
The Bouclier de Brennus is the historic shield-shaped trophy awarded to the champions of France’s top professional rugby union league.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5ffba88190b9dc7bb9afb6fdf2 |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7b33f3481909fe856b8be7d9bcd |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:02 a.m.