Triple
T25174960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dahra Range |
E630422
|
entity |
| Predicate | hasCoastlineProximity |
P17623
|
FINISHED |
| Object | close to Mediterranean coast |
—
|
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: close to Mediterranean coast | Statement: [Dahra Range, hasCoastlineProximity, close to Mediterranean coast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoastlineProximity Context triple: [Dahra Range, hasCoastlineProximity, close to Mediterranean coast]
-
A.
hasNearbyCoast
chosen
Indicates that one location is situated close to a coastline or seashore.
-
B.
hasCoastline
Indicates that a geographic entity is bordered by and directly touches a sea or ocean along part of its boundary.
-
C.
hasCoastlineType
Indicates the specific nature or classification of the coastline associated with a geographic entity.
-
D.
hasCountryCoastline
Indicates that a country possesses a coastline along a sea or ocean.
-
E.
hasCoastalAdjacentArea
Indicates that one area directly borders or is immediately next to a coastal zone.
- 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_69e75a88fdf081908e47ae6e195c14e1 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: April 21, 2026, 12:33 p.m.