Triple
T20099121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 9th arrondissement of Lyon |
E496484
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
La Duchère
La Duchère is a residential district in Lyon known for its large post-war housing estates, urban renewal projects, and hilltop views over the city.
|
E1410981
|
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: La Duchère | Statement: [9th arrondissement of Lyon, hasPart, La Duchère]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Duchère Context triple: [9th arrondissement of Lyon, hasPart, La Duchère]
-
A.
La Frenais
La Frenais is a surname most notably associated with British television writer Ian La Frenais, known for co-creating several classic UK comedy series.
-
B.
La Chevallerais
La Chevallerais is a small commune in western France, situated in the Loire-Atlantique department of the Pays de la Loire region.
-
C.
Gagnière
Gagnière is a French surname, likely of regional origin, associated with individuals such as Mahoudeau.
-
D.
Surpierre
Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
-
E.
Ganthier
Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
- 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: La Duchère Triple: [9th arrondissement of Lyon, hasPart, La Duchère]
Generated description
La Duchère is a residential district in Lyon known for its large post-war housing estates, urban renewal projects, and hilltop views over the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La Duchère Target entity description: La Duchère is a residential district in Lyon known for its large post-war housing estates, urban renewal projects, and hilltop views over the city.
-
A.
La Frenais
La Frenais is a surname most notably associated with British television writer Ian La Frenais, known for co-creating several classic UK comedy series.
-
B.
La Chevallerais
La Chevallerais is a small commune in western France, situated in the Loire-Atlantique department of the Pays de la Loire region.
-
C.
Gagnière
Gagnière is a French surname, likely of regional origin, associated with individuals such as Mahoudeau.
-
D.
Surpierre
Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
-
E.
Ganthier
Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666f2298819089659f13556ca305 |
completed | April 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08270edd6481909230ece4487f93fd |
completed | May 16, 2026, 8:13 a.m. |
| NEDg | Description generation | batch_6a0827c6a68c8190aed2d531b4fd2030 |
completed | May 16, 2026, 8:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08288d98fc8190a146f43a027682f0 |
completed | May 16, 2026, 8:19 a.m. |
Created at: April 11, 2026, 11:26 p.m.