Triple
T2404243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Het Hogeland |
E50238
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Usquert
Usquert is a village in the Dutch province of Groningen, known for its historic church and characteristic northern Netherlands landscape.
|
E262915
|
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: Usquert | Statement: [Het Hogeland, containsSettlement, Usquert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Usquert Context triple: [Het Hogeland, containsSettlement, Usquert]
-
A.
Alvescot
Alvescot is a small rural village in Oxfordshire, England, known for its traditional stone cottages and historic parish church.
-
B.
Dainzú
Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
-
C.
Huelén
Huelén is the former indigenous name for Cerro Santa Lucía, a historic hill and urban park in central Santiago, Chile.
-
D.
Valleiry
Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
-
E.
Mauregard
Mauregard is a small commune in the Seine-et-Marne department of the Île-de-France region in north-central France, situated near Paris Charles de Gaulle Airport.
- 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: Usquert Triple: [Het Hogeland, containsSettlement, Usquert]
Generated description
Usquert is a village in the Dutch province of Groningen, known for its historic church and characteristic northern Netherlands landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Usquert Target entity description: Usquert is a village in the Dutch province of Groningen, known for its historic church and characteristic northern Netherlands landscape.
-
A.
Alvescot
Alvescot is a small rural village in Oxfordshire, England, known for its traditional stone cottages and historic parish church.
-
B.
Dainzú
Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
-
C.
Huelén
Huelén is the former indigenous name for Cerro Santa Lucía, a historic hill and urban park in central Santiago, Chile.
-
D.
Valleiry
Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
-
E.
Mauregard
Mauregard is a small commune in the Seine-et-Marne department of the Île-de-France region in north-central France, situated near Paris Charles de Gaulle Airport.
- 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.