Triple
T5807499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Achterhoek |
E128780
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Berkelland
Berkelland is a municipality in the eastern Netherlands, located in the Achterhoek region of the province of Gelderland.
|
E547484
|
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: Berkelland | Statement: [Achterhoek, contains, Berkelland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berkelland Context triple: [Achterhoek, contains, Berkelland]
-
A.
Bellevue
Bellevue is a small municipality located along Lake Geneva in the canton of Geneva in southwestern Switzerland.
-
B.
Bellevue
Bellevue is a scenic mountain station in the French Alps that serves as a popular starting point for hikes and ascents around Mont Blanc.
-
C.
Redlands
Redlands is a historic city in Southern California known for its citrus-growing heritage, Victorian architecture, and role as an educational and cultural hub in the Inland Empire.
-
D.
Fremont
Fremont is a large suburban city in the San Francisco Bay Area known for its diverse population, tech industry presence, and proximity to Silicon Valley.
-
E.
Fremont
Fremont is a vibrant, artsy neighborhood in Seattle known for its public art, quirky landmarks, and lively cultural scene.
- 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: Berkelland Triple: [Achterhoek, contains, Berkelland]
Generated description
Berkelland is a municipality in the eastern Netherlands, located in the Achterhoek region of the province of Gelderland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Berkelland Target entity description: Berkelland is a municipality in the eastern Netherlands, located in the Achterhoek region of the province of Gelderland.
-
A.
Bellevue
Bellevue is a small municipality located along Lake Geneva in the canton of Geneva in southwestern Switzerland.
-
B.
Bellevue
Bellevue is a scenic mountain station in the French Alps that serves as a popular starting point for hikes and ascents around Mont Blanc.
-
C.
Redlands
Redlands is a historic city in Southern California known for its citrus-growing heritage, Victorian architecture, and role as an educational and cultural hub in the Inland Empire.
-
D.
Fremont
Fremont is a large suburban city in the San Francisco Bay Area known for its diverse population, tech industry presence, and proximity to Silicon Valley.
-
E.
Fremont
Fremont is a vibrant, artsy neighborhood in Seattle known for its public art, quirky landmarks, and lively cultural scene.
- 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b17417081908779741b9bfbb720 |
completed | March 22, 2026, 5:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0983ded9c8190b37372627c1e3a50 |
completed | March 23, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69c0990bf38081908c09c5dfe660c35b |
completed | March 23, 2026, 1:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c099bd26fc8190a58bf483a6d4cbca |
completed | March 23, 2026, 1:39 a.m. |
Created at: March 22, 2026, 3:52 p.m.