Triple
T1135034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Brabant |
E23119
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Helmond
Helmond is a city in the southern Netherlands known for its historic castle, industrial heritage, and location near Eindhoven in the province of North Brabant.
|
E521510
|
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: Helmond | Statement: [North Brabant, containsCity, Helmond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helmond Context triple: [North Brabant, containsCity, Helmond]
-
A.
Heerlen
Heerlen is a city in the southeastern Netherlands known for its mining history and modernist architecture, located in the province of Limburg.
-
B.
Apeldoorn
Apeldoorn is a city in the province of Gelderland in the Netherlands, known for the royal palace Het Loo and its historical ties to the Dutch monarchy.
-
C.
Gorinchem
Gorinchem is a historic fortified city in the Netherlands known for its well-preserved city walls and picturesque old town.
-
D.
Zoeterwoude
Zoeterwoude is a small Dutch municipality and village known for its rural character and location near Leiden in the province of South Holland.
-
E.
Almelo
Almelo is a city in the eastern Netherlands known for its industrial history and location in the province of Overijssel.
- 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: Helmond Triple: [North Brabant, containsCity, Helmond]
Generated description
Helmond is a city in the southern Netherlands known for its historic castle, industrial heritage, and location near Eindhoven in the province of North Brabant.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helmond Target entity description: Helmond is a city in the southern Netherlands known for its historic castle, industrial heritage, and location near Eindhoven in the province of North Brabant.
-
A.
Heerlen
Heerlen is a city in the southeastern Netherlands known for its mining history and modernist architecture, located in the province of Limburg.
-
B.
Apeldoorn
Apeldoorn is a city in the province of Gelderland in the Netherlands, known for the royal palace Het Loo and its historical ties to the Dutch monarchy.
-
C.
Gorinchem
Gorinchem is a historic fortified city in the Netherlands known for its well-preserved city walls and picturesque old town.
-
D.
Zoeterwoude
Zoeterwoude is a small Dutch municipality and village known for its rural character and location near Leiden in the province of South Holland.
-
E.
Almelo
Almelo is a city in the eastern Netherlands known for its industrial history and location in the province of Overijssel.
- 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_69a493ec75988190b63a11bafaec29b4 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bbfffaa48190b2534ff4da3544ce |
completed | March 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf41063b048190a68a6f6d42b7aaa2 |
completed | March 22, 2026, 1:08 a.m. |
| NEDg | Description generation | batch_69bf43db7fa48190b58fe5a5d7509cb8 |
completed | March 22, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf4475e86481909de41b6fa7959c8f |
completed | March 22, 2026, 1:23 a.m. |
Created at: March 1, 2026, 7:44 p.m.