Triple
T12141477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West-Friesland |
E289192
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Schagen
Schagen is a historic market town and municipality in the province of North Holland in the Netherlands, known for its traditional West Frisian culture and regional role as a local center.
|
E1306903
|
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: Schagen | Statement: [West-Friesland, hasMajorTown, Schagen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schagen Context triple: [West-Friesland, hasMajorTown, Schagen]
-
A.
Stadshagen
Stadshagen is a residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
-
B.
Bedum
Bedum is a former municipality and village in the province of Groningen in the Netherlands, now part of the larger municipality of Het Hogeland.
-
C.
Gorinchem
Gorinchem is a historic fortified city in the Netherlands known for its well-preserved city walls and picturesque old town.
-
D.
Schoonhoven
Schoonhoven is a historic Dutch town in South Holland, renowned for its silver craftsmanship and picturesque riverside setting.
-
E.
Heemskerk
Heemskerk is a town and municipality in North Holland in the Netherlands, known for its coastal dunes, historic estates, and residential character.
- 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: Schagen Triple: [West-Friesland, hasMajorTown, Schagen]
Generated description
Schagen is a historic market town and municipality in the province of North Holland in the Netherlands, known for its traditional West Frisian culture and regional role as a local center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schagen Target entity description: Schagen is a historic market town and municipality in the province of North Holland in the Netherlands, known for its traditional West Frisian culture and regional role as a local center.
-
A.
Stadshagen
Stadshagen is a residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
-
B.
Bedum
Bedum is a former municipality and village in the province of Groningen in the Netherlands, now part of the larger municipality of Het Hogeland.
-
C.
Gorinchem
Gorinchem is a historic fortified city in the Netherlands known for its well-preserved city walls and picturesque old town.
-
D.
Schoonhoven
Schoonhoven is a historic Dutch town in South Holland, renowned for its silver craftsmanship and picturesque riverside setting.
-
E.
Heemskerk
Heemskerk is a town and municipality in North Holland in the Netherlands, known for its coastal dunes, historic estates, and residential character.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915a9838081909622cc14df2a2582 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a037c1a1390819092d68ddc32e4479f |
completed | May 12, 2026, 7:14 p.m. |
| NEDg | Description generation | batch_6a037cfd596481909d0c361a11185194 |
completed | May 12, 2026, 7:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a037e7bbd1c8190a88f57cdf5bf30f5 |
completed | May 12, 2026, 7:24 p.m. |
Created at: April 8, 2026, 9:49 p.m.