Triple
T11130780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Troisvierges |
E263272
|
entity |
| Predicate | hasLocality |
P7943
|
FINISHED |
| Object |
Binsfeld
Binsfeld is a small village in northern Luxembourg, situated within the commune of Troisvierges near the borders with Belgium and Germany.
|
E907718
|
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: Binsfeld | Statement: [Troisvierges, hasLocality, Binsfeld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Binsfeld Context triple: [Troisvierges, hasLocality, Binsfeld]
-
A.
Mirfeld
Mirfeld is a small settlement that forms part of the municipality of Amel in eastern Belgium.
-
B.
Windorf
Windorf is a small Bavarian municipality situated along the Danube River in southeastern Germany.
-
C.
Brenkhausen
Brenkhausen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
-
D.
Bergneustadt
Bergneustadt is a small town in North Rhine-Westphalia, Germany, known for its location in the hilly Oberbergischer Kreis region and its traditional half-timbered architecture.
-
E.
Froland
Froland is a rural municipality in Agder county in southern Norway, known for its forests, rivers, and historical ties to the mathematician Niels Henrik Abel.
- 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: Binsfeld Triple: [Troisvierges, hasLocality, Binsfeld]
Generated description
Binsfeld is a small village in northern Luxembourg, situated within the commune of Troisvierges near the borders with Belgium and Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Binsfeld Target entity description: Binsfeld is a small village in northern Luxembourg, situated within the commune of Troisvierges near the borders with Belgium and Germany.
-
A.
Mirfeld
Mirfeld is a small settlement that forms part of the municipality of Amel in eastern Belgium.
-
B.
Windorf
Windorf is a small Bavarian municipality situated along the Danube River in southeastern Germany.
-
C.
Brenkhausen
Brenkhausen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
-
D.
Bergneustadt
Bergneustadt is a small town in North Rhine-Westphalia, Germany, known for its location in the hilly Oberbergischer Kreis region and its traditional half-timbered architecture.
-
E.
Froland
Froland is a rural municipality in Agder county in southern Norway, known for its forests, rivers, and historical ties to the mathematician Niels Henrik Abel.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e831f4808190afabdaa0e97bbe32 |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e441dcb4608190a4cfa46c194d11ae |
completed | April 19, 2026, 2:45 a.m. |
| NEDg | Description generation | batch_69e44c09163481909d6a469b1e50b6ff |
completed | April 19, 2026, 3:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4519f4d408190be9863c72006ecad |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 8, 2026, 9:28 p.m.