Triple
T2404238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Het Hogeland |
E50238
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Leens
Leens is a village in the Dutch province of Groningen, located within the municipality of Het Hogeland.
|
E262912
|
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: Leens | Statement: [Het Hogeland, containsSettlement, Leens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leens Context triple: [Het Hogeland, containsSettlement, Leens]
-
A.
Lontzen
Lontzen is a municipality in eastern Belgium, located in the country’s German-speaking region near the border with Germany.
-
B.
Leese
Leese is an English surname most notably associated with British Army General Sir Oliver Leese, a senior commander during the Second World War.
-
C.
Neeleman
Neeleman is a surname most notably associated with David Neeleman, the Brazilian-American entrepreneur and founder of multiple airlines including JetBlue Airways.
-
D.
Kwintsheul
Kwintsheul is a village in the Dutch province of South Holland, known for its greenhouse horticulture and location within the Westland region.
-
E.
Lessi
Lessi is a diminutive or affectionate nickname commonly used for the Italian given name Alessandro.
- 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: Leens Triple: [Het Hogeland, containsSettlement, Leens]
Generated description
Leens is a village in the Dutch province of Groningen, located within the municipality of Het Hogeland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leens Target entity description: Leens is a village in the Dutch province of Groningen, located within the municipality of Het Hogeland.
-
A.
Lontzen
Lontzen is a municipality in eastern Belgium, located in the country’s German-speaking region near the border with Germany.
-
B.
Leese
Leese is an English surname most notably associated with British Army General Sir Oliver Leese, a senior commander during the Second World War.
-
C.
Neeleman
Neeleman is a surname most notably associated with David Neeleman, the Brazilian-American entrepreneur and founder of multiple airlines including JetBlue Airways.
-
D.
Kwintsheul
Kwintsheul is a village in the Dutch province of South Holland, known for its greenhouse horticulture and location within the Westland region.
-
E.
Lessi
Lessi is a diminutive or affectionate nickname commonly used for the Italian given name Alessandro.
- 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc8fa151081909bc6be528b29b315 |
completed | March 7, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3e740c88190872aa1a7834d73b0 |
completed | March 9, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_69aeb4b942b08190addc2885fbda0e41 |
completed | March 9, 2026, 11:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeb557247c8190920ce3a5db388800 |
completed | March 9, 2026, 11:56 a.m. |
Created at: March 4, 2026, 7:58 p.m.