Triple
T4313858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiel |
E94139
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Binnenstad Tiel
Binnenstad Tiel is the historic city center and main commercial district of the Dutch town of Tiel.
|
E429347
|
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: Binnenstad Tiel | Statement: [Tiel, hasNeighbourhood, Binnenstad Tiel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Binnenstad Tiel Context triple: [Tiel, hasNeighbourhood, Binnenstad Tiel]
-
A.
Teylingen
Teylingen is a municipality in the Dutch province of South Holland, known for its historic estates and proximity to the bulb-growing region.
-
B.
Begijnhof
Begijnhof is a historic, secluded courtyard in central Amsterdam known for its preserved medieval houses and former beguine community.
-
C.
Scharendijke
Scharendijke is a village in the Dutch province of Zeeland, known as a popular base for water sports and diving in the Grevelingen and North Sea area.
-
D.
Nuenen
Nuenen is a village in the southern Netherlands, known for its association with both the painter Vincent van Gogh and computer scientist Edsger W. Dijkstra.
-
E.
New Utrecht
New Utrecht is a historic neighborhood in the southwestern part of Brooklyn, New York City, originally founded as a Dutch town in the 17th century.
- 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: Binnenstad Tiel Triple: [Tiel, hasNeighbourhood, Binnenstad Tiel]
Generated description
Binnenstad Tiel is the historic city center and main commercial district of the Dutch town of Tiel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Binnenstad Tiel Target entity description: Binnenstad Tiel is the historic city center and main commercial district of the Dutch town of Tiel.
-
A.
Teylingen
Teylingen is a municipality in the Dutch province of South Holland, known for its historic estates and proximity to the bulb-growing region.
-
B.
Begijnhof
Begijnhof is a historic, secluded courtyard in central Amsterdam known for its preserved medieval houses and former beguine community.
-
C.
Scharendijke
Scharendijke is a village in the Dutch province of Zeeland, known as a popular base for water sports and diving in the Grevelingen and North Sea area.
-
D.
Nuenen
Nuenen is a village in the southern Netherlands, known for its association with both the painter Vincent van Gogh and computer scientist Edsger W. Dijkstra.
-
E.
New Utrecht
New Utrecht is a historic neighborhood in the southwestern part of Brooklyn, New York City, originally founded as a Dutch town in the 17th century.
- 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_69b3451886588190a3dd1305ea7c58dc |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b350f319c08190bb40a9fc5933728d |
completed | March 12, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c75f30f48190ab030d635bd334af |
completed | March 14, 2026, 8:38 p.m. |
| NEDg | Description generation | batch_69b5c7d12d408190957f40fe4c9d7ab3 |
completed | March 14, 2026, 8:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5c890dfa48190af458943224ad2e2 |
completed | March 14, 2026, 8:44 p.m. |
Created at: March 12, 2026, 11:12 p.m.