Triple
T21785305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoge Kempen National Park |
E537819
|
entity |
| Predicate | hasEntranceGate |
P12642
|
FINISHED |
| Object |
Lieteberg
Lieteberg is a visitor gateway and nature area associated with Belgium’s Hoge Kempen National Park, known for its walking trails and natural landscapes.
|
E1502672
|
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: Lieteberg | Statement: [Hoge Kempen National Park, hasEntranceGate, Lieteberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lieteberg Context triple: [Hoge Kempen National Park, hasEntranceGate, Lieteberg]
-
A.
Ranselberg
Ranselberg is a locality or district that forms part of the town of Lorch in Germany.
-
B.
Dverberg
Dverberg is a small village and former municipal center located on the island of Andøya in Nordland county, Norway.
-
C.
Jernberg
Jernberg is a Swedish surname most notably associated with Olympic champion cross-country skier Sixten Jernberg.
-
D.
Heilsberg
Heilsberg is a historic town in northeastern Poland, known today as Lidzbark Warmiński, that was the site of significant medieval and Napoleonic-era military engagements.
-
E.
Lekeberg
Lekeberg is a locality in Sweden that serves as the administrative center of Lekeberg Municipality in Örebro County.
- 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: Lieteberg Triple: [Hoge Kempen National Park, hasEntranceGate, Lieteberg]
Generated description
Lieteberg is a visitor gateway and nature area associated with Belgium’s Hoge Kempen National Park, known for its walking trails and natural landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lieteberg Target entity description: Lieteberg is a visitor gateway and nature area associated with Belgium’s Hoge Kempen National Park, known for its walking trails and natural landscapes.
-
A.
Ranselberg
Ranselberg is a locality or district that forms part of the town of Lorch in Germany.
-
B.
Dverberg
Dverberg is a small village and former municipal center located on the island of Andøya in Nordland county, Norway.
-
C.
Jernberg
Jernberg is a Swedish surname most notably associated with Olympic champion cross-country skier Sixten Jernberg.
-
D.
Heilsberg
Heilsberg is a historic town in northeastern Poland, known today as Lidzbark Warmiński, that was the site of significant medieval and Napoleonic-era military engagements.
-
E.
Lekeberg
Lekeberg is a locality in Sweden that serves as the administrative center of Lekeberg Municipality in Örebro County.
- 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_69e0c47198f881908cb0d237266c10e9 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f04630f4f08190910b9e499a4249ca |
completed | April 28, 2026, 5:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a3e71399c8190b80ebe0870bbcda9 |
completed | May 17, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_6a0a3f80ad2c8190bc9b8de10b37c826 |
completed | May 17, 2026, 10:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a402328f88190aedece0522614d71 |
completed | May 17, 2026, 10:24 p.m. |
Created at: April 16, 2026, 6:52 p.m.