Triple
T3141490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Mitry-Mory |
E65654
|
entity |
| Predicate | containsCommune |
P15149
|
FINISHED |
| Object |
Montry
Montry is a small French commune located in the Seine-et-Marne department in the Île-de-France region, east of Paris.
|
E332699
|
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: Montry | Statement: [canton of Mitry-Mory, containsCommune, Montry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montry Context triple: [canton of Mitry-Mory, containsCommune, Montry]
-
A.
San Luis
San Luis is a residential and commercial district located in the eastern part of Lima, Peru.
-
B.
San Luis
San Luis is a municipality and town in western Cuba known for its agricultural activities within Pinar del Río Province.
-
C.
Cheyenne
Cheyenne is the capital and most populous city of Wyoming, known for its historic railroad roots and annual Cheyenne Frontier Days rodeo.
-
D.
Cheyenne
The Cheyenne are a Native American people of the Great Plains known for their nomadic horse culture, warrior societies, and significant role in 19th-century U.S. frontier history.
-
E.
Santa Fe
Santa Fe is a town on Cuba’s Isla de la Juventud, known as one of the island’s principal local settlements.
- 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: Montry Triple: [canton of Mitry-Mory, containsCommune, Montry]
Generated description
Montry is a small French commune located in the Seine-et-Marne department in the Île-de-France region, east of Paris.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Montry Target entity description: Montry is a small French commune located in the Seine-et-Marne department in the Île-de-France region, east of Paris.
-
A.
San Luis
San Luis is a residential and commercial district located in the eastern part of Lima, Peru.
-
B.
San Luis
San Luis is a municipality and town in western Cuba known for its agricultural activities within Pinar del Río Province.
-
C.
Cheyenne
Cheyenne is the capital and most populous city of Wyoming, known for its historic railroad roots and annual Cheyenne Frontier Days rodeo.
-
D.
Cheyenne
The Cheyenne are a Native American people of the Great Plains known for their nomadic horse culture, warrior societies, and significant role in 19th-century U.S. frontier history.
-
E.
Santa Fe
Santa Fe is a major modern business and financial district in western Mexico City known for its corporate offices, upscale shopping centers, and contemporary high-rise architecture.
- 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.