Triple
T37278915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French naval base network |
E925323
|
entity |
| Predicate | mainMediterraneanBase |
P187978
|
FINISHED |
| Object | Toulon naval base |
—
|
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: Toulon naval base | Statement: [French naval base network, mainMediterraneanBase, Toulon naval base]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainMediterraneanBase Context triple: [French naval base network, mainMediterraneanBase, Toulon naval base]
-
A.
distanceFromMediterranean
Indicates the measured spatial distance between a given location and the Mediterranean Sea.
-
B.
countryWithMainCourse
Indicates that a particular country is associated with a specific main course dish, typically as a representative or characteristic meal.
-
C.
hasMediterraneanClimate
Indicates that a place experiences a Mediterranean climate, typically characterized by mild, wet winters and hot, dry summers.
-
D.
dateToReachMediterranean
Indicates the date on which an entity is expected or scheduled to arrive at, or first reach, the Mediterranean.
-
E.
mainCourse
Indicates that one item serves as the primary or central dish in a meal relative to other accompanying dishes.
- 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_69f76eafe20c8190856d3b996a4c31a7 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69fb9e173f348190b7ab5935e4dca039 |
completed | May 6, 2026, 8:01 p.m. |
Created at: May 3, 2026, 4:16 p.m.