Triple
T11110383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stoumont |
E262738
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Cheneux
Cheneux is a small village in the municipality of Stoumont in the province of Liège, Belgium, known for its rural setting and World War II history.
|
E911473
|
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: Cheneux | Statement: [Stoumont, contains, Cheneux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cheneux Context triple: [Stoumont, contains, Cheneux]
-
A.
Cottévrard
Cottévrard is a small commune in the Seine-Maritime department of the Normandy region in northern France.
-
B.
Aigues-Mortais
Aigues-Mortais are the inhabitants of Aigues-Mortes, a historic fortified town in the Occitanie region of southern France.
-
C.
d’Étanges
d’Étanges is the aristocratic family name borne by Julie d’Étanges, a central character in Goethe’s epistolary novel "The Sorrows of Young Werther."
-
D.
Vallée de Chaudefour
Vallée de Chaudefour is a protected glacial valley in France’s Massif Central, renowned for its dramatic volcanic landscapes, rich biodiversity, and popular hiking trails.
-
E.
Frépillon
Frépillon is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
- 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: Cheneux Triple: [Stoumont, contains, Cheneux]
Generated description
Cheneux is a small village in the municipality of Stoumont in the province of Liège, Belgium, known for its rural setting and World War II history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cheneux Target entity description: Cheneux is a small village in the municipality of Stoumont in the province of Liège, Belgium, known for its rural setting and World War II history.
-
A.
Cottévrard
Cottévrard is a small commune in the Seine-Maritime department of the Normandy region in northern France.
-
B.
Aigues-Mortais
Aigues-Mortais are the inhabitants of Aigues-Mortes, a historic fortified town in the Occitanie region of southern France.
-
C.
d’Étanges
d’Étanges is the aristocratic family name borne by Julie d’Étanges, a central character in Goethe’s epistolary novel "The Sorrows of Young Werther."
-
D.
Vallée de Chaudefour
Vallée de Chaudefour is a protected glacial valley in France’s Massif Central, renowned for its dramatic volcanic landscapes, rich biodiversity, and popular hiking trails.
-
E.
Frépillon
Frépillon is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a6964508190b679303d3b3a4fd6 |
completed | April 9, 2026, 12:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e496a593c4819090d295119ce50e48 |
completed | April 19, 2026, 8:47 a.m. |
| NEDg | Description generation | batch_69e49c09844881908e0d95ba3f239024 |
completed | April 19, 2026, 9:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e49e7f8b108190bb69f532adf25809 |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 8, 2026, 9:27 p.m.