Triple
T11326852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gouvy |
E268242
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Sterpigny
Sterpigny is a small village in the municipality of Gouvy in the province of Luxembourg, Belgium.
|
E919807
|
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: Sterpigny | Statement: [Gouvy, hasSettlement, Sterpigny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sterpigny Context triple: [Gouvy, hasSettlement, Sterpigny]
-
A.
Strépy-Bracquegnies
Strépy-Bracquegnies is a village in the Walloon region of Belgium, known in part for its proximity to the Strépy-Thieu boat lift.
-
B.
Pétange
Pétange is a commune in southwestern Luxembourg known for its proximity to the borders with Belgium and France and its role as a local transport and industrial hub.
-
C.
Mondercange
Mondercange is a commune and small town in southwestern Luxembourg, known for hosting the headquarters and training center of the national football association.
-
D.
Ottignies
Ottignies is a town in central Belgium, in Walloon Brabant, known as a regional transport hub on the rail route between Brussels and Namur.
-
E.
Gouvieux
Gouvieux is a commune in northern France known for hosting the French residence of Aga Khan IV, Shah Karim al-Husayni.
- 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: Sterpigny Triple: [Gouvy, hasSettlement, Sterpigny]
Generated description
Sterpigny is a small village in the municipality of Gouvy in the province of Luxembourg, Belgium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sterpigny Target entity description: Sterpigny is a small village in the municipality of Gouvy in the province of Luxembourg, Belgium.
-
A.
Strépy-Bracquegnies
Strépy-Bracquegnies is a village in the Walloon region of Belgium, known in part for its proximity to the Strépy-Thieu boat lift.
-
B.
Pétange
Pétange is a commune in southwestern Luxembourg known for its proximity to the borders with Belgium and France and its role as a local transport and industrial hub.
-
C.
Mondercange
Mondercange is a commune and small town in southwestern Luxembourg, known for hosting the headquarters and training center of the national football association.
-
D.
Ottignies
Ottignies is a town in central Belgium, in Walloon Brabant, known as a regional transport hub on the rail route between Brussels and Namur.
-
E.
Gouvieux
Gouvieux is a commune in northern France known for hosting the French residence of Aga Khan IV, Shah Karim al-Husayni.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9e2253881909518cad0f12ef612 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e54318be088190b57de40a2091447d |
completed | April 19, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69e5474879088190990468d960b26739 |
completed | April 19, 2026, 9:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e54eccdd3881908536ee3f9f4ef516 |
completed | April 19, 2026, 9:53 p.m. |
Created at: April 8, 2026, 9:32 p.m.