Triple
T5521717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arezzo |
E144823
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Saint-Priest |
E364907
|
NE FINISHED |
How this triple was built (2 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: Saint-Priest | Statement: [Arezzo, twinTown, Saint-Priest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint-Priest Context triple: [Arezzo, twinTown, Saint-Priest]
-
A.
Saint-Priest
chosen
Saint-Priest is a suburban commune in eastern France that forms part of the metropolitan area of Lyon.
-
B.
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.
-
C.
Meyzieu
Meyzieu is a suburban commune in eastern France, located near Lyon and known for its residential character and proximity to major transport links.
-
D.
Vaulx-en-Velin
Vaulx-en-Velin is a suburban commune in eastern France located just northeast of Lyon, known for its large housing estates and diverse population.
-
E.
Vanves
Vanves is a suburban commune in the southwestern outskirts of Paris, France, known for its dense residential character and proximity to the capital.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008f873a481909b4d9f7e2db3c37d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f7227a8819080c9f074afe0eaac |
completed | March 22, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c99ba1bbdc81909269ac0a97caa91d |
completed | March 29, 2026, 9:37 p.m. |
Created at: March 22, 2026, 3:33 p.m.