Triple
T24488479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peace of Saint-Germain |
E617578
|
entity |
| Predicate | securityTowns |
P156496
|
FINISHED |
| Object | La Rochelle |
—
|
NE NERFINISHED |
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: La Rochelle | Statement: [Peace of Saint-Germain, securityTowns, La Rochelle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: securityTowns Context triple: [Peace of Saint-Germain, securityTowns, La Rochelle]
-
A.
isTown
Indicates that the subject entity is classified as a town.
-
B.
hasPoliceStationsIn
Indicates that one entity possesses, manages, or contains one or more police stations located within the area or jurisdiction of another entity.
-
C.
isInteriorTownOf
Indicates that one town is located within the interior region of, and is administratively or geographically associated with, a larger area or jurisdiction.
-
D.
policesCity
Indicates that one entity is responsible for providing law enforcement or policing services within a particular city.
-
E.
cityOrTown
Indicates that the subject is classified as a city or a town.
- F. None of above. chosen
Provenance (4 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_69e2d7f4e6bc8190aec540ae3b9ed7f2 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2a9d795288190916368e3cec1f666 |
completed | April 30, 2026, 1:01 a.m. |
Created at: April 18, 2026, 2:22 a.m.