Triple
T17142245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mons |
E415995
|
entity |
| Predicate | hasFestival |
P3113
|
FINISHED |
| Object | Doudou (Ducasse de Mons) |
E489163
|
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: Doudou (Ducasse de Mons) | Statement: [Mons, hasFestival, Doudou (Ducasse de Mons)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doudou (Ducasse de Mons) Context triple: [Mons, hasFestival, Doudou (Ducasse de Mons)]
-
A.
Doudou of Mons
chosen
Doudou of Mons is a historic annual festival in Mons, Belgium, featuring religious processions and a famous dragon-slaying reenactment known as the Lumeçon.
-
B.
Mouton-Duvernet
Mouton-Duvernet is a Paris Métro station in the 14th arrondissement, serving the Montparnasse area and named after the French general Régis Barthélemy Mouton-Duvernet.
-
C.
Franches-Montagnes horse
The Franches-Montagnes horse is a versatile Swiss light draft and riding breed known for its strength, sure-footedness, and calm temperament.
-
D.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
-
E.
Le Brusquet
Le Brusquet is a small commune in southeastern France situated in the Alpes-de-Haute-Provence department.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2d5de10819090cbd65661b018d3 |
completed | April 18, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a014154b9848190ac01602eb01ae710 |
completed | May 11, 2026, 2:39 a.m. |
Created at: April 10, 2026, 5:36 a.m.