Triple
T3141461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Mitry-Mory |
E65654
|
entity |
| Predicate | containsCommune |
P15149
|
FINISHED |
| Object |
Carnetin
Carnetin is a small French commune located in the Île-de-France region in north-central France.
|
E332684
|
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: Carnetin | Statement: [canton of Mitry-Mory, containsCommune, Carnetin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carnetin Context triple: [canton of Mitry-Mory, containsCommune, Carnetin]
-
A.
Caron
Caron is a French surname most famously associated with actress and dancer Leslie Caron, known for her roles in classic Hollywood musicals.
-
B.
Tartegnin
Tartegnin is a small wine-producing municipality in the canton of Vaud in western Switzerland, situated above Lake Geneva in the La Côte region.
-
C.
Souletin
Souletin is a distinct dialect of the Basque language traditionally spoken in the Soule (Zuberoa) region of the French Basque Country.
-
D.
Betano
Betano is an international online sports betting and gaming brand known for sponsoring major football clubs and sporting events.
-
E.
Estane
Estane is a well-known thermoplastic polyurethane (TPU) polymer brand produced by Lubrizol, widely used for its durability, flexibility, and abrasion resistance in coatings, adhesives, and molded products.
- 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: Carnetin Triple: [canton of Mitry-Mory, containsCommune, Carnetin]
Generated description
Carnetin is a small French commune located in the Île-de-France region in north-central France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carnetin Target entity description: Carnetin is a small French commune located in the Île-de-France region in north-central France.
-
A.
Caron
Caron is a French surname most famously associated with actress and dancer Leslie Caron, known for her roles in classic Hollywood musicals.
-
B.
Tartegnin
Tartegnin is a small wine-producing municipality in the canton of Vaud in western Switzerland, situated above Lake Geneva in the La Côte region.
-
C.
Souletin
Souletin is a distinct dialect of the Basque language traditionally spoken in the Soule (Zuberoa) region of the French Basque Country.
-
D.
Betano
Betano is an international online sports betting and gaming brand known for sponsoring major football clubs and sporting events.
-
E.
Estane
Estane is a well-known thermoplastic polyurethane (TPU) polymer brand produced by Lubrizol, widely used for its durability, flexibility, and abrasion resistance in coatings, adhesives, and molded products.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada57895dc8190bd3d4ef9391973dc |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224e4df38819089d0a11016a85ad8 |
completed | March 12, 2026, 2:28 a.m. |
| NEDg | Description generation | batch_69b228c1b568819088dc5ce4a15fedc2 |
completed | March 12, 2026, 2:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b22ccd34a8819089e207b6ee1f634a |
completed | March 12, 2026, 3:02 a.m. |
Created at: March 8, 2026, 3:05 p.m.