Triple
T16830096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrondissement of Annecy |
E409125
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Meythet
Meythet is a suburban locality in southeastern France that forms part of the urban area around the city of Annecy in the Haute-Savoie department.
|
E1235446
|
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: Meythet | Statement: [Arrondissement of Annecy, contains, Meythet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meythet Context triple: [Arrondissement of Annecy, contains, Meythet]
-
A.
Thazi
Thazi is a town in Myanmar’s Mandalay Region that serves as a local transport and railway junction near Meiktila.
-
B.
Méjanelle
Méjanelle is a French wine-producing area recognized as a subregion within the broader Languedoc appellation in southern France.
-
C.
Meara
Meara is the surname of American actress and comedian Anne Meara, best known as half of the comedy duo Stiller and Meara and as the mother of actor Ben Stiller.
-
D.
Mourouj
Mourouj is a suburban town in northern Tunisia that forms part of the greater Tunis metropolitan area.
-
E.
Sareyn
Sareyn is a small Iranian town renowned for its natural hot springs and status as a popular health and tourism destination.
- 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: Meythet Triple: [Arrondissement of Annecy, contains, Meythet]
Generated description
Meythet is a suburban locality in southeastern France that forms part of the urban area around the city of Annecy in the Haute-Savoie department.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Meythet Target entity description: Meythet is a suburban locality in southeastern France that forms part of the urban area around the city of Annecy in the Haute-Savoie department.
-
A.
Thazi
Thazi is a town in Myanmar’s Mandalay Region that serves as a local transport and railway junction near Meiktila.
-
B.
Méjanelle
Méjanelle is a French wine-producing area recognized as a subregion within the broader Languedoc appellation in southern France.
-
C.
Meara
Meara is the surname of American actress and comedian Anne Meara, best known as half of the comedy duo Stiller and Meara and as the mother of actor Ben Stiller.
-
D.
Mourouj
Mourouj is a suburban town in northern Tunisia that forms part of the greater Tunis metropolitan area.
-
E.
Sareyn
Sareyn is a small Iranian town renowned for its natural hot springs and status as a popular health and tourism destination.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b316acc881909c686add53d72388 |
completed | April 18, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b2a0ac148190a7a7edebcb67c040 |
completed | May 10, 2026, 4:30 p.m. |
| NEDg | Description generation | batch_6a00b35ea8f88190ae33e8a2f906d133 |
completed | May 10, 2026, 4:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00b3d14b3c819081f435777f47eca3 |
completed | May 10, 2026, 4:35 p.m. |
Created at: April 10, 2026, 5:23 a.m.