Triple
T13921468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Differdange |
E334753
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Moulins-lès-Metz
Moulins-lès-Metz is a commune in the Moselle department of northeastern France, situated near the city of Metz.
|
E1102403
|
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: Moulins-lès-Metz | Statement: [Differdange, hasTwinTown, Moulins-lès-Metz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moulins-lès-Metz Context triple: [Differdange, hasTwinTown, Moulins-lès-Metz]
-
A.
Lorry-lès-Metz
Lorry-lès-Metz is a small commune in the Moselle department of northeastern France, near the city of Metz.
-
B.
Thionville
Thionville is a town in northeastern France near the Luxembourg border, known historically as a strategic industrial and military center in the Moselle region.
-
C.
Berg-sur-Moselle
Berg-sur-Moselle is a small French commune in the Moselle department of northeastern France, near the border with Luxembourg.
-
D.
Sarreguemines
Sarreguemines is a town in northeastern France near the German border, historically known for its ceramics and faience production.
-
E.
Pont-à-Mousson
Pont-à-Mousson is a historic town in northeastern France on the Moselle River, known for its medieval heritage and former university.
- 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: Moulins-lès-Metz Triple: [Differdange, hasTwinTown, Moulins-lès-Metz]
Generated description
Moulins-lès-Metz is a commune in the Moselle department of northeastern France, situated near the city of Metz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Moulins-lès-Metz Target entity description: Moulins-lès-Metz is a commune in the Moselle department of northeastern France, situated near the city of Metz.
-
A.
Lorry-lès-Metz
Lorry-lès-Metz is a small commune in the Moselle department of northeastern France, near the city of Metz.
-
B.
Thionville
Thionville is a town in northeastern France near the Luxembourg border, known historically as a strategic industrial and military center in the Moselle region.
-
C.
Berg-sur-Moselle
Berg-sur-Moselle is a small French commune in the Moselle department of northeastern France, near the border with Luxembourg.
-
D.
Sarreguemines
Sarreguemines is a town in northeastern France near the German border, historically known for its ceramics and faience production.
-
E.
Pont-à-Mousson
Pont-à-Mousson is a historic town in northeastern France on the Moselle River, known for its medieval heritage and former university.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2aa5c1f481908a9d8786872f08fe |
completed | April 14, 2026, 11:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d72a17c8190b63f9f441731917d |
completed | May 8, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69fd6de8b640819098adc7fb05acba7a |
completed | May 8, 2026, 5 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd6fadf9b0819086ef8ffec340d7c6 |
completed | May 8, 2026, 5:07 a.m. |
Created at: April 9, 2026, 10:16 p.m.