Triple
T13312738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Rouen |
E317110
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Malaunay
Malaunay is a small commune in the Normandy region of northern France, situated near the city of Rouen.
|
E1033273
|
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: Malaunay | Statement: [arrondissement of Rouen, contains, Malaunay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malaunay Context triple: [arrondissement of Rouen, contains, Malaunay]
-
A.
Rufino
Rufino is a masculine given name, commonly used in Spanish and Portuguese, that is cognate with the Latin-derived name Rufus.
-
B.
Palau Montaner
Palau Montaner is a notable Modernisme-era building in Barcelona, Spain, designed by the renowned Catalan architect Lluís Domènech i Montaner.
-
C.
Redon
Redon is a French surname most notably associated with the Symbolist painter and printmaker Odilon Redon.
-
D.
Redon
Redon is a small historic town in western France known for its canal junction and medieval abbey, situated near the borders of Brittany and Pays de la Loire.
-
E.
Günther Maleuda
Günther Maleuda was an East German politician who served in senior government leadership during the final years of the German Democratic Republic.
- 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: Malaunay Triple: [arrondissement of Rouen, contains, Malaunay]
Generated description
Malaunay is a small commune in the Normandy region of northern France, situated near the city of Rouen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Malaunay Target entity description: Malaunay is a small commune in the Normandy region of northern France, situated near the city of Rouen.
-
A.
Rufino
Rufino is a masculine given name, commonly used in Spanish and Portuguese, that is cognate with the Latin-derived name Rufus.
-
B.
Palau Montaner
Palau Montaner is a notable Modernisme-era building in Barcelona, Spain, designed by the renowned Catalan architect Lluís Domènech i Montaner.
-
C.
Redon
Redon is a French surname most notably associated with the Symbolist painter and printmaker Odilon Redon.
-
D.
Redon
Redon is a small historic town in western France known for its canal junction and medieval abbey, situated near the borders of Brittany and Pays de la Loire.
-
E.
Günther Maleuda
Günther Maleuda was an East German politician who served in senior government leadership during the final years of the German Democratic Republic.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990f6d34c8190ba19dc2df7d42c22 |
completed | April 11, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716e7b9a48190a33b04df8ad45ed8 |
completed | May 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69f717b868608190971c38f26b61cf28 |
completed | May 3, 2026, 9:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7186b6218819096c67e9dd9af609f |
completed | May 3, 2026, 9:42 a.m. |
Created at: April 9, 2026, 9:29 p.m.