Triple
T14815833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esneux |
E348311
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Méry
Méry is a village in the municipality of Esneux in the province of Liège, Belgium.
|
E1122426
|
NE FINISHED |
How this triple was built (4 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: Méry | Statement: [Esneux, contains, Méry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Méry Context triple: [Esneux, contains, Méry]
-
A.
Meyrueis
Meyrueis is a small commune in southern France’s Lozère department, known as a gateway to the Gorges de la Jonte and surrounding limestone plateaus in the Cévennes region.
-
B.
Meyronnes
Meyronnes is a small mountain commune in southeastern France, situated in the Alps near the Italian border within the Ubaye Valley.
-
C.
Mauprat
Mauprat is a 1837 novel by French writer George Sand that blends romantic adventure with social and psychological themes, often seen as an early feminist and proto–Bildungsroman work.
-
D.
Méautis
Méautis is a small commune in the Manche department of Normandy in northwestern France, known for its rural landscape and World War II history.
-
E.
Vaudesir
Vaudésir is one of the prestigious Grand Cru vineyard sites in the Chablis wine region of Burgundy, renowned for producing some of its most refined and age-worthy Chardonnay wines.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Méry Triple: [Esneux, contains, Méry]
Generated description
Méry is a village in the municipality of Esneux in the province of Liège, Belgium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Méry Target entity description: Méry is a village in the municipality of Esneux in the province of Liège, Belgium.
-
A.
Meyrueis
Meyrueis is a small commune in southern France’s Lozère department, known as a gateway to the Gorges de la Jonte and surrounding limestone plateaus in the Cévennes region.
-
B.
Meyronnes
Meyronnes is a small mountain commune in southeastern France, situated in the Alps near the Italian border within the Ubaye Valley.
-
C.
Mauprat
Mauprat is a 1837 novel by French writer George Sand that blends romantic adventure with social and psychological themes, often seen as an early feminist and proto–Bildungsroman work.
-
D.
Méautis
Méautis is a small commune in the Manche department of Normandy in northwestern France, known for its rural landscape and World War II history.
-
E.
Vaudesir
Vaudésir is one of the prestigious Grand Cru vineyard sites in the Chablis wine region of Burgundy, renowned for producing some of its most refined and age-worthy Chardonnay wines.
- F. None of above. chosen
Provenance (5 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe2c1ec81908b3dff7a5d0e85d0 |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe389598848190ba15e6eea2ba2903 |
completed | May 8, 2026, 7:25 p.m. |
| NEDg | Description generation | batch_69fe3a104b508190aeb51059b6f67c5f |
completed | May 8, 2026, 7:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe3add5b48819088607fe01fb4a9b6 |
completed | May 8, 2026, 7:34 p.m. |
Created at: April 10, 2026, 1:49 a.m.