Triple
T10619572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wanze |
E295672
|
entity |
| Predicate | hasMunicipalSection |
P10450
|
FINISHED |
| Object |
Huccorgne
Huccorgne is a village in Wallonia, Belgium, that forms one of the municipal sections of the municipality of Wanze in the province of Liège.
|
E875505
|
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: Huccorgne | Statement: [Wanze, hasMunicipalSection, Huccorgne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huccorgne Context triple: [Wanze, hasMunicipalSection, Huccorgne]
-
A.
Rognon
Rognon is a river in northeastern France that flows through the Haute-Marne department and serves as a tributary within the Marne river basin.
-
B.
Hesselberg
Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
-
C.
Valberg
Valberg is a popular ski resort village in the southern French Alps known for its family-friendly slopes and sunny Mediterranean-alpine climate.
-
D.
Grankulla
Grankulla is the Swedish name for Kauniainen, a small, affluent town surrounded by Espoo in the Helsinki metropolitan area of Finland.
-
E.
Agger
Agger is a river in North Rhine-Westphalia, Germany, known as a tributary of the Sieg.
- 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: Huccorgne Triple: [Wanze, hasMunicipalSection, Huccorgne]
Generated description
Huccorgne is a village in Wallonia, Belgium, that forms one of the municipal sections of the municipality of Wanze in the province of Liège.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Huccorgne Target entity description: Huccorgne is a village in Wallonia, Belgium, that forms one of the municipal sections of the municipality of Wanze in the province of Liège.
-
A.
Rognon
Rognon is a river in northeastern France that flows through the Haute-Marne department and serves as a tributary within the Marne river basin.
-
B.
Hesselberg
Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
-
C.
Valberg
Valberg is a popular ski resort village in the southern French Alps known for its family-friendly slopes and sunny Mediterranean-alpine climate.
-
D.
Grankulla
Grankulla is the Swedish name for Kauniainen, a small, affluent town surrounded by Espoo in the Helsinki metropolitan area of Finland.
-
E.
Agger
Agger is a river in North Rhine-Westphalia, Germany, known as a tributary of the Sieg.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d6df6fc47c8190b77b61a7fd223d65 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b86a5bc8190863034cc91fdbbb9 |
completed | April 10, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69d96def8bfc81909d6a5addf724691b |
completed | April 10, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d96fedb18881908570593856f4aade |
completed | April 10, 2026, 9:47 p.m. |
Created at: April 8, 2026, 8:21 p.m.