Triple
T11817241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaux-sur-Sûre |
E281032
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Lescheret
Lescheret is a small village in the municipality of Vaux-sur-Sûre in the Belgian province of Luxembourg.
|
E948110
|
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: Lescheret | Statement: [Vaux-sur-Sûre, hasSubdivision, Lescheret]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lescheret Context triple: [Vaux-sur-Sûre, hasSubdivision, Lescheret]
-
A.
Lescheraines
Lescheraines is a small French village in the Savoie department of southeastern France, situated within the Alpine regional nature area of the Bauges.
-
B.
Levasy
Levasy is a small city located in Jackson County in the U.S. state of Missouri.
-
C.
Lechmere
Lechmere is a Massachusetts Bay Transportation Authority (MBTA) light rail station in Cambridge, Massachusetts, serving the Green Line.
-
D.
Leyhof
Leyhof is a residential neighborhood in the Dutch town of Leiderdorp, located in the province of South Holland.
-
E.
Lelylaan
Lelylaan is a transport hub and railway/metro station in Amsterdam’s Nieuw-West district, connecting metro, train, tram, and bus services.
- 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: Lescheret Triple: [Vaux-sur-Sûre, hasSubdivision, Lescheret]
Generated description
Lescheret is a small village in the municipality of Vaux-sur-Sûre in the Belgian province of Luxembourg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lescheret Target entity description: Lescheret is a small village in the municipality of Vaux-sur-Sûre in the Belgian province of Luxembourg.
-
A.
Lescheraines
Lescheraines is a small French village in the Savoie department of southeastern France, situated within the Alpine regional nature area of the Bauges.
-
B.
Levasy
Levasy is a small city located in Jackson County in the U.S. state of Missouri.
-
C.
Lechmere
Lechmere is a Massachusetts Bay Transportation Authority (MBTA) light rail station in Cambridge, Massachusetts, serving the Green Line.
-
D.
Leyhof
Leyhof is a residential neighborhood in the Dutch town of Leiderdorp, located in the province of South Holland.
-
E.
Lelylaan
Lelylaan is a transport hub and railway/metro station in Amsterdam’s Nieuw-West district, connecting metro, train, tram, and bus services.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5e760988190b50d13bba5ef5b43 |
completed | April 10, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f131cbf9708190ba8394fb3508b975 |
completed | April 28, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_69f14e8a1b788190a1704d6e102342e3 |
completed | April 29, 2026, 12:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f15715a1588190ba0ec21647adc57c |
completed | April 29, 2026, 12:55 a.m. |
Created at: April 8, 2026, 9:42 p.m.