Triple
T3762324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maison de la Culture de Firminy |
E82590
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Firminy
Firminy is a commune in central France known for its notable modernist architecture, including works by Le Corbusier such as the Maison de la Culture.
|
E489403
|
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: Firminy | Statement: [Maison de la Culture de Firminy, locatedIn, Firminy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Firminy Context triple: [Maison de la Culture de Firminy, locatedIn, Firminy]
-
A.
Saint-Priest
Saint-Priest is a suburban commune in eastern France that forms part of the metropolitan area of Lyon.
-
B.
Meyzieu
Meyzieu is a suburban commune in eastern France, located near Lyon and known for its residential character and proximity to major transport links.
-
C.
Vanves
Vanves is a suburban commune in the southwestern outskirts of Paris, France, known for its dense residential character and proximity to the capital.
-
D.
Villeurbanne
Villeurbanne is a major suburban city adjacent to Lyon in eastern France, known for its dense urban character and role as part of the Lyon metropolitan area.
-
E.
Créteil
Créteil is a southeastern suburb of Paris and the administrative center of the Val-de-Marne department in northern France.
- 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: Firminy Triple: [Maison de la Culture de Firminy, locatedIn, Firminy]
Generated description
Firminy is a commune in central France known for its notable modernist architecture, including works by Le Corbusier such as the Maison de la Culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Firminy Target entity description: Firminy is a commune in central France known for its notable modernist architecture, including works by Le Corbusier such as the Maison de la Culture.
-
A.
Saint-Priest
Saint-Priest is a suburban commune in eastern France that forms part of the metropolitan area of Lyon.
-
B.
Meyzieu
Meyzieu is a suburban commune in eastern France, located near Lyon and known for its residential character and proximity to major transport links.
-
C.
Vanves
Vanves is a suburban commune in the southwestern outskirts of Paris, France, known for its dense residential character and proximity to the capital.
-
D.
Villeurbanne
Villeurbanne is a major suburban city adjacent to Lyon in eastern France, known for its dense urban character and role as part of the Lyon metropolitan area.
-
E.
Créteil
Créteil is a southeastern suburb of Paris and the administrative center of the Val-de-Marne department in northern France.
- 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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbfa44ac819082f2c895d96c9170 |
completed | March 8, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea458dd088190834a647c7316a83c |
completed | March 21, 2026, 1:59 p.m. |
| NEDg | Description generation | batch_69bea4d632f881909e621f5d11855f8b |
completed | March 21, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bea547a08c8190ae74293c4a729ad2 |
completed | March 21, 2026, 2:03 p.m. |
Created at: March 8, 2026, 3:35 p.m.