Triple
T1873654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gatineau |
E39089
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object |
Masson-Angers
Masson-Angers is a former municipality in western Quebec, Canada, that now forms a sector within the city of Gatineau.
|
E208705
|
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: Masson-Angers | Statement: [Gatineau, formedByMergerOf, Masson-Angers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Masson-Angers Context triple: [Gatineau, formedByMergerOf, Masson-Angers]
-
A.
Mouton-Duvernet
Mouton-Duvernet is a Paris Métro station in the 14th arrondissement, serving the Montparnasse area and named after the French general Régis Barthélemy Mouton-Duvernet.
-
B.
Montesson
Montesson is a suburban commune in the Yvelines department of north-central France, located to the northwest of Paris along the Seine River.
-
C.
Ganthier
Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
-
D.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
-
E.
Oberkampf
Oberkampf is a Paris Métro station in the 11th arrondissement, serving as an interchange between lines 5 and 9 near the lively Oberkampf district.
- 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: Masson-Angers Triple: [Gatineau, formedByMergerOf, Masson-Angers]
Generated description
Masson-Angers is a former municipality in western Quebec, Canada, that now forms a sector within the city of Gatineau.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Masson-Angers Target entity description: Masson-Angers is a former municipality in western Quebec, Canada, that now forms a sector within the city of Gatineau.
-
A.
Mouton-Duvernet
Mouton-Duvernet is a Paris Métro station in the 14th arrondissement, serving the Montparnasse area and named after the French general Régis Barthélemy Mouton-Duvernet.
-
B.
Montesson
Montesson is a suburban commune in the Yvelines department of north-central France, located to the northwest of Paris along the Seine River.
-
C.
Ganthier
Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
-
D.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
-
E.
Oberkampf
Oberkampf is a Paris Métro station in the 11th arrondissement, serving as an interchange between lines 5 and 9 near the lively Oberkampf district.
- 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_69a8862f7074819096afe7fe65e179e9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0d648ec8190a21445ddca6f9aa6 |
completed | March 7, 2026, 5 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1de8728819090e80868f27c09af |
completed | March 8, 2026, 7:45 p.m. |
| NEDg | Description generation | batch_69add25d68488190ad9d142573bf044b |
completed | March 8, 2026, 7:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69add2ba229081909783af4edce0ed75 |
completed | March 8, 2026, 7:49 p.m. |
Created at: March 4, 2026, 7:34 p.m.