Triple
T7791055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iskar River |
E180178
|
entity |
| Predicate | hasCanyonSection |
P20892
|
FINISHED |
| Object | near Lakatnik |
—
|
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: near Lakatnik | Statement: [Iskar River, hasCanyonSection, near Lakatnik]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCanyonSection Context triple: [Iskar River, hasCanyonSection, near Lakatnik]
-
A.
containsCanyon
chosen
Indicates that one geographic or spatial entity includes a canyon within its boundaries or extent.
-
B.
hasCanyonType
Indicates that an entity is characterized by, or classified as having, a specific type or category of canyon.
-
C.
isInCanyon
Indicates that an entity is located within the geographical bounds of a canyon.
-
D.
hasCanalSection
Indicates a relationship where one entity includes, contains, or is associated with a specific section or segment of a canal.
-
E.
hasScenicSections
Indicates that a route, path, or area contains segments that are visually attractive or offer notable scenic views.
- 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_69ca827d22208190b4dc5aa680edcf5d |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78a6d88819093f83528fe88b182 |
completed | March 30, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69cae9111b2481909684a2d4aa4831c2 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:30 p.m.