Triple
T13543912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soest |
E323462
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Bilthoven
Bilthoven is a town in the Dutch province of Utrecht, known as a residential suburb with good rail connections and several national research institutes.
|
E1445571
|
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: Bilthoven | Statement: [Soest, locatedNear, Bilthoven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bilthoven Context triple: [Soest, locatedNear, Bilthoven]
-
A.
Veldhoven
Veldhoven is a town and municipality in the southern Netherlands, located near Eindhoven in the province of North Brabant.
-
B.
Schoonhoven
Schoonhoven is a historic Dutch town in South Holland, renowned for its silver craftsmanship and picturesque riverside setting.
-
C.
Kloosterburen
Kloosterburen is a small village in the Dutch province of Groningen, known for its historic churches and rural character.
-
D.
Zundert
Zundert is a municipality and town in the southern Netherlands, known as the birthplace of painter Vincent van Gogh and for hosting one of the world's largest flower parades.
-
E.
Bergeijk
Bergeijk is a municipality and village in the southern Netherlands, located in the province of North Brabant near the Belgian border.
- 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: Bilthoven Triple: [Soest, locatedNear, Bilthoven]
Generated description
Bilthoven is a town in the Dutch province of Utrecht, known as a residential suburb with good rail connections and several national research institutes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bilthoven Target entity description: Bilthoven is a town in the Dutch province of Utrecht, known as a residential suburb with good rail connections and several national research institutes.
-
A.
Veldhoven
Veldhoven is a town and municipality in the southern Netherlands, located near Eindhoven in the province of North Brabant.
-
B.
Schoonhoven
Schoonhoven is a historic Dutch town in South Holland, renowned for its silver craftsmanship and picturesque riverside setting.
-
C.
Kloosterburen
Kloosterburen is a small village in the Dutch province of Groningen, known for its historic churches and rural character.
-
D.
Zundert
Zundert is a municipality and town in the southern Netherlands, known as the birthplace of painter Vincent van Gogh and for hosting one of the world's largest flower parades.
-
E.
Bergeijk
Bergeijk is a municipality and village in the southern Netherlands, located in the province of North Brabant near the Belgian border.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafda36248190acabde65a88c5471 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08d7c569a481909b595b0517fbee7d |
completed | May 16, 2026, 8:47 p.m. |
| NEDg | Description generation | batch_6a08d902cab481908d0a7b28699a2031 |
completed | May 16, 2026, 8:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d9693acc8190acc75cbbf06b62da |
completed | May 16, 2026, 8:54 p.m. |
Created at: April 9, 2026, 9:45 p.m.