Triple
T13506193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Saint-Julien-en-Genevois |
E321019
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Massongy
Massongy is a small commune in the Haute-Savoie department of southeastern France, near the Swiss border and Lake Geneva.
|
E1045838
|
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: Massongy | Statement: [arrondissement of Saint-Julien-en-Genevois, contains, Massongy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Massongy Context triple: [arrondissement of Saint-Julien-en-Genevois, contains, Massongy]
-
A.
Abamakoro
Abamakoro is a small village located on the island of Nonouti in the Republic of Kiribati in the central Pacific Ocean.
-
B.
Baganga
Baganga is a coastal municipality in the province of Davao Oriental in the Philippines, known for its beaches, waterfalls, and rich marine and forest resources.
-
C.
Matsatsantsa
Matsatsantsa is the popular nickname of South African football club SuperSport United F.C., known for competing in the country’s top-tier league.
-
D.
Mikongo
Mikongo is a small settlement in central Gabon that serves as a key access point for visitors exploring Lope National Park.
-
E.
Anjara
Anjara is a town in northern Jordan situated within the hilly, forested region of Ajloun, known for its Christian pilgrimage sites and scenic landscapes.
- 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: Massongy Triple: [arrondissement of Saint-Julien-en-Genevois, contains, Massongy]
Generated description
Massongy is a small commune in the Haute-Savoie department of southeastern France, near the Swiss border and Lake Geneva.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Massongy Target entity description: Massongy is a small commune in the Haute-Savoie department of southeastern France, near the Swiss border and Lake Geneva.
-
A.
Abamakoro
Abamakoro is a small village located on the island of Nonouti in the Republic of Kiribati in the central Pacific Ocean.
-
B.
Baganga
Baganga is a coastal municipality in the province of Davao Oriental in the Philippines, known for its beaches, waterfalls, and rich marine and forest resources.
-
C.
Matsatsantsa
Matsatsantsa is the popular nickname of South African football club SuperSport United F.C., known for competing in the country’s top-tier league.
-
D.
Mikongo
Mikongo is a small settlement in central Gabon that serves as a key access point for visitors exploring Lope National Park.
-
E.
Anjara
Anjara is a town in northern Jordan situated within the hilly, forested region of Ajloun, known for its Christian pilgrimage sites and scenic landscapes.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf8259a08190ada13c4a3078f07d |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7548bc188819090773db66b0103a1 |
completed | May 3, 2026, 1:58 p.m. |
| NEDg | Description generation | batch_69f758a55ddc81909298a37f6ce88236 |
completed | May 3, 2026, 2:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7593d74cc819099c5d39ae09c3f70 |
completed | May 3, 2026, 2:18 p.m. |
Created at: April 9, 2026, 9:43 p.m.