Triple
T17264056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denderstreek |
E419077
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Haaltert
Haaltert is a municipality in the Belgian province of East Flanders, known for its rural character and location within the Denderstreek region.
|
E1259009
|
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: Haaltert | Statement: [Denderstreek, hasPart, Haaltert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haaltert Context triple: [Denderstreek, hasPart, Haaltert]
-
A.
Heerdt
Heerdt is a district of Düsseldorf, Germany, located on the left bank of the Rhine and characterized by a mix of residential, commercial, and industrial areas.
-
B.
Holleken
Holleken is a local railway station serving the suburban area near Brussels, Belgium.
-
C.
Huldenberg
Huldenberg is a rural municipality in the Flemish Brabant province of Belgium, known for its hilly landscape, forests, and residential villages near Brussels.
-
D.
Schellerten
Schellerten is a rural municipality in Lower Saxony, Germany, characterized by its agricultural landscape and small-village communities.
-
E.
Harskamp
Harskamp is a village in the Dutch province of Gelderland, known for its rural character and proximity to the Hoge Veluwe National Park.
- 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: Haaltert Triple: [Denderstreek, hasPart, Haaltert]
Generated description
Haaltert is a municipality in the Belgian province of East Flanders, known for its rural character and location within the Denderstreek region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haaltert Target entity description: Haaltert is a municipality in the Belgian province of East Flanders, known for its rural character and location within the Denderstreek region.
-
A.
Heerdt
Heerdt is a district of Düsseldorf, Germany, located on the left bank of the Rhine and characterized by a mix of residential, commercial, and industrial areas.
-
B.
Holleken
Holleken is a local railway station serving the suburban area near Brussels, Belgium.
-
C.
Huldenberg
Huldenberg is a rural municipality in the Flemish Brabant province of Belgium, known for its hilly landscape, forests, and residential villages near Brussels.
-
D.
Schellerten
Schellerten is a rural municipality in Lower Saxony, Germany, characterized by its agricultural landscape and small-village communities.
-
E.
Harskamp
Harskamp is a village in the Dutch province of Gelderland, known for its rural character and proximity to the Hoge Veluwe National Park.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42f4432fc81908fd90865822af1fa |
completed | April 19, 2026, 1:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0171054f388190bf068ca2e6b88458 |
completed | May 11, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_6a0173faebf48190a1334a205cd9804a |
completed | May 11, 2026, 6:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0174a41204819097b9aeff2c09cffe |
completed | May 11, 2026, 6:18 a.m. |
Created at: April 10, 2026, 5:40 a.m.