Triple
T6746116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arlon |
E154217
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Arelerland
Arelerland is a historical region in southeastern Belgium, centered around the town of Arlon and known for its Luxembourgish cultural and linguistic heritage.
|
E615682
|
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: Arelerland | Statement: [Arlon, locatedIn, Arelerland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arelerland Context triple: [Arlon, locatedIn, Arelerland]
-
A.
Kamperland
Kamperland is a village in the Dutch province of Zeeland, located on the island of Noord-Beveland and known as a coastal and recreational destination.
-
B.
Nemoland
Nemoland is a popular open-air bar and live music venue located within Copenhagen’s autonomous neighborhood of Freetown Christiania.
-
C.
Burzenland
Burzenland is a historic region in southeastern Transylvania, Romania, known for its medieval Saxon settlements, fortified churches, and strategic location in the Carpathian foothills.
-
D.
Turania
Turania is a small municipality in the Province of Rieti in the Lazio region of central Italy.
-
E.
Heidiland
Heidiland is a popular Swiss tourist region in Eastern Switzerland, known for its alpine landscapes and associations with Johanna Spyri’s "Heidi" stories.
- 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: Arelerland Triple: [Arlon, locatedIn, Arelerland]
Generated description
Arelerland is a historical region in southeastern Belgium, centered around the town of Arlon and known for its Luxembourgish cultural and linguistic heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arelerland Target entity description: Arelerland is a historical region in southeastern Belgium, centered around the town of Arlon and known for its Luxembourgish cultural and linguistic heritage.
-
A.
Kamperland
Kamperland is a village in the Dutch province of Zeeland, located on the island of Noord-Beveland and known as a coastal and recreational destination.
-
B.
Nemoland
Nemoland is a popular open-air bar and live music venue located within Copenhagen’s autonomous neighborhood of Freetown Christiania.
-
C.
Burzenland
Burzenland is a historic region in southeastern Transylvania, Romania, known for its medieval Saxon settlements, fortified churches, and strategic location in the Carpathian foothills.
-
D.
Turania
Turania is a small municipality in the Province of Rieti in the Lazio region of central Italy.
-
E.
Heidiland
Heidiland is a popular Swiss tourist region in Eastern Switzerland, known for its alpine landscapes and associations with Johanna Spyri’s "Heidi" stories.
- 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_69c6880ef37881909268a5a7299b9293 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1b8a0f0819086b802983e8ffcb6 |
completed | March 27, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b15ded88190a36fb86093ba5a3c |
completed | March 27, 2026, 10:56 p.m. |
| NEDg | Description generation | batch_69c70c334a90819084bb0b25bbc112cc |
completed | March 27, 2026, 11:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c70d0fcbc08190b3a7d0de3c634a5f |
completed | March 27, 2026, 11:04 p.m. |
Created at: March 27, 2026, 2:10 p.m.