Triple
T3280200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrondissement of Bonneville |
E68853
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Thyez
Thyez is a commune in the Haute-Savoie department of southeastern France, situated in the Alps near the town of Bonneville.
|
E346096
|
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: Thyez | Statement: [Arrondissement of Bonneville, containsAdministrativeTerritorialEntity, Thyez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thyez Context triple: [Arrondissement of Bonneville, containsAdministrativeTerritorialEntity, Thyez]
-
A.
Thann
Thann is a small historic town in northeastern France, located at the foot of the Vosges mountains in the Haut-Rhin department of Alsace.
-
B.
Thieux
Thieux is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
-
C.
Thebae
Thebae is the Latin name for the ancient Egyptian city of Thebes, a major religious and political center on the Nile known for its temples and royal necropolis.
-
D.
Mora
Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
-
E.
Thal
Thal is a small scenic town in Pakistan’s Upper Dir District that serves as a gateway and base for travelers heading into the Kumrat Valley.
- 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: Thyez Triple: [Arrondissement of Bonneville, containsAdministrativeTerritorialEntity, Thyez]
Generated description
Thyez is a commune in the Haute-Savoie department of southeastern France, situated in the Alps near the town of Bonneville.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thyez Target entity description: Thyez is a commune in the Haute-Savoie department of southeastern France, situated in the Alps near the town of Bonneville.
-
A.
Thann
Thann is a small historic town in northeastern France, located at the foot of the Vosges mountains in the Haut-Rhin department of Alsace.
-
B.
Thieux
Thieux is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
-
C.
Thebae
Thebae is the Latin name for the ancient Egyptian city of Thebes, a major religious and political center on the Nile known for its temples and royal necropolis.
-
D.
Mora
Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
-
E.
Thal
Thal is a small scenic town in Pakistan’s Upper Dir District that serves as a gateway and base for travelers heading into the Kumrat Valley.
- 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_69ad859c463481909ca4be267336c290 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0166c8c81909cb0a580ef319be3 |
completed | March 8, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3ca2fdc81908ba4f304c63989ea |
completed | March 12, 2026, 5:11 p.m. |
| NEDg | Description generation | batch_69b2f9748a708190bc4af97f3a1fabff |
completed | March 12, 2026, 5:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b30a6aa45c8190bb21ae0cd649aab4 |
completed | March 12, 2026, 6:48 p.m. |
Created at: March 8, 2026, 3:10 p.m.