Triple
T14273262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vijfheerenlanden |
E353846
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Everdingen
Everdingen is a village in the Dutch province of Utrecht, known for its rural character and historic fortifications along the Lek River.
|
E1088963
|
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: Everdingen | Statement: [Vijfheerenlanden, containsSettlement, Everdingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Everdingen Context triple: [Vijfheerenlanden, containsSettlement, Everdingen]
-
A.
Leerdam
Leerdam is a Dutch city renowned for its glassmaking tradition, located in the province of South Holland.
-
B.
Hüls
Hüls is a district of the German city of Krefeld in North Rhine-Westphalia, known for its historic town center and textile-industry heritage.
-
C.
Duisdorf
Duisdorf is a district of Bonn, Germany, known as a residential area with local commerce and public services within the borough of Hardtberg.
-
D.
Berendrecht
Berendrecht is a village in the northern part of Antwerp, Belgium, known for its proximity to the Port of Antwerp and its integration into the Berendrecht-Zandvliet-Lillo district.
-
E.
Werthhoven
Werthhoven is a village-level district within the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
- 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: Everdingen Triple: [Vijfheerenlanden, containsSettlement, Everdingen]
Generated description
Everdingen is a village in the Dutch province of Utrecht, known for its rural character and historic fortifications along the Lek River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Everdingen Target entity description: Everdingen is a village in the Dutch province of Utrecht, known for its rural character and historic fortifications along the Lek River.
-
A.
Leerdam
Leerdam is a Dutch city renowned for its glassmaking tradition, located in the province of South Holland.
-
B.
Hüls
Hüls is a district of the German city of Krefeld in North Rhine-Westphalia, known for its historic town center and textile-industry heritage.
-
C.
Duisdorf
Duisdorf is a district of Bonn, Germany, known as a residential area with local commerce and public services within the borough of Hardtberg.
-
D.
Berendrecht
Berendrecht is a village in the northern part of Antwerp, Belgium, known for its proximity to the Port of Antwerp and its integration into the Berendrecht-Zandvliet-Lillo district.
-
E.
Werthhoven
Werthhoven is a village-level district within the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6582f5308190969f4cfd724d9139 |
completed | April 14, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd326a5aec8190b139a0c49fd43705 |
completed | May 8, 2026, 12:46 a.m. |
| NEDg | Description generation | batch_69fd333b49a88190834a5f45fa0fc6c2 |
completed | May 8, 2026, 12:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd33bdc8d08190be11f5ccf259cd6a |
completed | May 8, 2026, 12:52 a.m. |
Created at: April 10, 2026, 1:10 a.m.