Triple
T11110244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pepinster |
E262735
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Goffontaine
Goffontaine is a locality within the municipality of Pepinster in the province of Liège, Belgium.
|
E921087
|
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: Goffontaine | Statement: [Pepinster, hasSubdivision, Goffontaine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goffontaine Context triple: [Pepinster, hasSubdivision, Goffontaine]
-
A.
Villefontaine
Villefontaine is a commune in the Isère department of southeastern France, known as a suburban town within the Grenoble urban area.
-
B.
Tiffauges
Tiffauges is a historic commune in western France, known for its medieval castle and scenic setting along the Sèvre Nantaise river.
-
C.
Assencières
Assencières is a small commune in the Aube department of north-central France.
-
D.
Ferrière
Ferrière is a French-language surname of Swiss origin borne by various notable individuals, including social worker and humanitarian Suzanne Ferrière.
-
E.
Bessancourt
Bessancourt is a small suburban commune in the Val-d'Oise department in the Île-de-France region of northern France, forming part of the northwestern outskirts of Paris.
- 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: Goffontaine Triple: [Pepinster, hasSubdivision, Goffontaine]
Generated description
Goffontaine is a locality within the municipality of Pepinster in the province of Liège, Belgium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Goffontaine Target entity description: Goffontaine is a locality within the municipality of Pepinster in the province of Liège, Belgium.
-
A.
Villefontaine
Villefontaine is a commune in the Isère department of southeastern France, known as a suburban town within the Grenoble urban area.
-
B.
Tiffauges
Tiffauges is a historic commune in western France, known for its medieval castle and scenic setting along the Sèvre Nantaise river.
-
C.
Assencières
Assencières is a small commune in the Aube department of north-central France.
-
D.
Ferrière
Ferrière is a French-language surname of Swiss origin borne by various notable individuals, including social worker and humanitarian Suzanne Ferrière.
-
E.
Bessancourt
Bessancourt is a small suburban commune in the Val-d'Oise department in the Île-de-France region of northern France, forming part of the northwestern outskirts of Paris.
- 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_69e5562a0f54819095360368672d2e96 |
completed | April 19, 2026, 10:24 p.m. |
| NEDg | Description generation | batch_69e562bb085c8190942766d12d838798 |
completed | April 19, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e569f0e6948190b285ca84aca03771 |
completed | April 19, 2026, 11:49 p.m. |
Created at: April 8, 2026, 9:27 p.m.