Triple
T26800298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macedonia (region) |
E671080
|
entity |
| Predicate | hasCentralValley |
P86468
|
FINISHED |
| Object | Vardar River valley |
—
|
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: Vardar River valley | Statement: [Macedonia (region), hasCentralValley, Vardar River valley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCentralValley Context triple: [Macedonia (region), hasCentralValley, Vardar River valley]
-
A.
hasCentralCounty
Indicates that an administrative or geographic region is associated with a specific county that serves as its central or primary county.
-
B.
valleyRegion
Indicates that one region is characterized as a valley area within a larger geographic or topographic context.
-
C.
hasCentralRegion
Indicates that an entity possesses or is associated with a primary or central area within its overall structure or domain.
-
D.
primaryValley
chosen
Indicates that a valley is the main or most significant valley associated with a given geographic feature or region.
-
E.
hasCentralCities
Indicates that an entity is associated with one or more cities that serve as its primary or central urban locations.
- 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_69eeb31fbd888190a82dac5822e453bc |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 27, 2026, 4:22 a.m.