Triple
T12338231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bordighera |
E294146
|
entity |
| Predicate | wasPopularResortInCentury |
P55048
|
FINISHED |
| Object | 19th century |
—
|
LITERAL 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: 19th century | Statement: [Bordighera, wasPopularResortInCentury, 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasPopularResortInCentury Context triple: [Bordighera, wasPopularResortInCentury, 19th century]
-
A.
popularInCentury
Indicates that something was widely liked, influential, or commonly recognized during a specified century.
-
B.
hasPopularResort
Indicates that a location or area contains or is associated with a resort that is widely visited or well-liked.
-
C.
developedAsResortDuring
chosen
Indicates that a place was developed or transformed into a resort during a specified time period.
-
D.
wasSpaTown
Indicates that a place historically functioned as a spa town, known for its therapeutic baths or mineral springs.
-
E.
wasMajorMiningTownInCentury
Indicates that a town was a significant center of mining activity during a specified century.
- F. None of above.
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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f678698819091462b44ff3435f6 |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ecb5efc819086a3530282278bb1 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.