Triple
T13655062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Pontoise |
E326838
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Frepillon
Frepillon is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
|
E1120369
|
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: Frepillon | Statement: [arrondissement of Pontoise, contains, Frepillon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frepillon Context triple: [arrondissement of Pontoise, contains, Frepillon]
-
A.
Étrépagny
Étrépagny is a commune in the Eure department of the Normandy region in northern France.
-
B.
Vaucresson
Vaucresson is a suburban commune in the western outskirts of Paris, France, known for its residential character and green surroundings.
-
C.
Le Pecq
Le Pecq is a suburban commune in the Yvelines department of north-central France, located on the Seine River to the west of Paris.
-
D.
Étrépilly
Étrépilly is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
-
E.
Pierrefitte-sur-Seine
Pierrefitte-sur-Seine is a northern suburb of Paris in the Seine-Saint-Denis department of France, notable for hosting the main site of the French National Archives.
- 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: Frepillon Triple: [arrondissement of Pontoise, contains, Frepillon]
Generated description
Frepillon is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frepillon Target entity description: Frepillon is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
-
A.
Étrépagny
Étrépagny is a commune in the Eure department of the Normandy region in northern France.
-
B.
Vaucresson
Vaucresson is a suburban commune in the western outskirts of Paris, France, known for its residential character and green surroundings.
-
C.
Le Pecq
Le Pecq is a suburban commune in the Yvelines department of north-central France, located on the Seine River to the west of Paris.
-
D.
Étrépilly
Étrépilly is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
-
E.
Pierrefitte-sur-Seine
Pierrefitte-sur-Seine is a northern suburb of Paris in the Seine-Saint-Denis department of France, notable for hosting the main site of the French National Archives.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60ace048190a4b92310ba272bd1 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe249c57bc819089baed544fb8fead |
completed | May 8, 2026, 5:59 p.m. |
| NEDg | Description generation | batch_69fe272e37608190b7a0db34f15f28b3 |
completed | May 8, 2026, 6:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe278a3ff481909d98cd1bce8f867e |
completed | May 8, 2026, 6:12 p.m. |
Created at: April 9, 2026, 9:52 p.m.