Triple
T734649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Overijssel |
E14902
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Hengelo
Hengelo is a mid-sized industrial city in the eastern Netherlands known for its manufacturing heritage and location near Enschede.
|
E363394
|
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: Hengelo | Statement: [Overijssel, containsCity, Hengelo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hengelo Context triple: [Overijssel, containsCity, Hengelo]
-
A.
Harderwijk
Harderwijk is a historic Dutch city known for its former Hanseatic trading role and scenic location on the shores of the Veluwemeer.
-
B.
Almelo
Almelo is a city in the eastern Netherlands known for its industrial history and location in the province of Overijssel.
-
C.
Papendrecht
Papendrecht is a Dutch town situated on the river Merwede in the province of South Holland, known for its residential character and proximity to the city of Dordrecht.
-
D.
Barendrecht
Barendrecht is a suburban town in the western Netherlands, located just south of Rotterdam and known for its residential character and logistics industry.
-
E.
Zutphen
Zutphen is a historic city in the eastern Netherlands known for its well-preserved medieval center and location along the river IJssel.
- 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: Hengelo Triple: [Overijssel, containsCity, Hengelo]
Generated description
Hengelo is a mid-sized industrial city in the eastern Netherlands known for its manufacturing heritage and location near Enschede.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hengelo Target entity description: Hengelo is a mid-sized industrial city in the eastern Netherlands known for its manufacturing heritage and location near Enschede.
-
A.
Harderwijk
Harderwijk is a historic Dutch city known for its former Hanseatic trading role and scenic location on the shores of the Veluwemeer.
-
B.
Almelo
chosen
Almelo is a city in the eastern Netherlands known for its industrial history and location in the province of Overijssel.
-
C.
Papendrecht
Papendrecht is a Dutch town situated on the river Merwede in the province of South Holland, known for its residential character and proximity to the city of Dordrecht.
-
D.
Barendrecht
Barendrecht is a suburban town in the western Netherlands, located just south of Rotterdam and known for its residential character and logistics industry.
-
E.
Zutphen
Zutphen is a historic city in the eastern Netherlands known for its well-preserved medieval center and location along the river IJssel.
- F. None of above.
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_69a4934d9930819099eed80096b0597d |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5d8c6148190a468f2d95f7ec91f |
completed | March 1, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e337908819091bf126b5acad9df |
completed | March 13, 2026, 3:02 a.m. |
| NEDg | Description generation | batch_69b37eba29348190bfb3687afefe217b |
completed | March 13, 2026, 3:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b37f1515f88190816c73aab8d2300e |
completed | March 13, 2026, 3:05 a.m. |
Created at: March 1, 2026, 7:37 p.m.