Triple
T10687067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imperia |
E251904
|
entity |
| Predicate | hasMediterraneanCoast |
P1896
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Imperia, hasMediterraneanCoast, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMediterraneanCoast Context triple: [Imperia, hasMediterraneanCoast, true]
-
A.
hasMediterraneanClimate
Indicates that a place experiences a Mediterranean climate, typically characterized by mild, wet winters and hot, dry summers.
-
B.
hasCoastalRegion
Indicates that a place possesses at least one region that borders or is directly adjacent to a sea or ocean.
-
C.
distanceFromMediterranean
Indicates the measured spatial distance between a given location and the Mediterranean Sea.
-
D.
hasCoastline
chosen
Indicates that a geographic entity is bordered by and directly touches a sea or ocean along part of its boundary.
-
E.
hasFamousCoastalRegion
Indicates that an entity possesses or is associated with a well-known coastal area or shoreline region.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd192220819088eff88148376266 |
completed | April 9, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69d6dd8cc0788190b4c02a772e4b58b3 |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:10 p.m.