Triple
T7091508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canton of Courseulles-sur-Mer |
E165204
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Anisy
Anisy is a small commune in the Calvados department of the Normandy region in northwestern France.
|
E640657
|
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: Anisy | Statement: [Canton of Courseulles-sur-Mer, containsAdministrativeTerritorialEntity, Anisy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anisy Context triple: [Canton of Courseulles-sur-Mer, containsAdministrativeTerritorialEntity, Anisy]
-
A.
Ihnasya
Ihnasya is a city in Egypt known for its location within the Beni Suef Governorate along the Nile Valley.
-
B.
Asini
Asini is a small historic village in Greece’s Argolid region, known for its nearby ancient ruins and coastal setting near Nafplio.
-
C.
Anif
Anif is a small Austrian municipality near Salzburg, known for its historic castle and as a residence of notable figures.
-
D.
Asakyiri
Asakyiri is one of the traditional matrilineal clans of the Akan people of Ghana, associated with shared ancestry, symbols, and social responsibilities.
-
E.
Arnissa
Arnissa is a small town in northern Greece situated close to Lake Vegoritida, known for its scenic lakeside setting and surrounding natural landscape.
- 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: Anisy Triple: [Canton of Courseulles-sur-Mer, containsAdministrativeTerritorialEntity, Anisy]
Generated description
Anisy is a small commune in the Calvados department of the Normandy region in northwestern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anisy Target entity description: Anisy is a small commune in the Calvados department of the Normandy region in northwestern France.
-
A.
Ihnasya
Ihnasya is a city in Egypt known for its location within the Beni Suef Governorate along the Nile Valley.
-
B.
Asini
Asini is a small historic village in Greece’s Argolid region, known for its nearby ancient ruins and coastal setting near Nafplio.
-
C.
Anif
Anif is a small Austrian municipality near Salzburg, known for its historic castle and as a residence of notable figures.
-
D.
Asakyiri
Asakyiri is one of the traditional matrilineal clans of the Akan people of Ghana, associated with shared ancestry, symbols, and social responsibilities.
-
E.
Arnissa
Arnissa is a small town in northern Greece situated close to Lake Vegoritida, known for its scenic lakeside setting and surrounding natural landscape.
- 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_69c6887e8c10819091cee237560d32da |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e53132288190b6da361d9c7218ab |
completed | March 27, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7948cb3d48190993134d709924e3d |
completed | March 28, 2026, 8:42 a.m. |
| NEDg | Description generation | batch_69c7962ec0bc8190a9223ebb245d0914 |
completed | March 28, 2026, 8:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c79709ed808190a9f09f5350ba2ffd |
completed | March 28, 2026, 8:53 a.m. |
Created at: March 27, 2026, 2:41 p.m.