Triple
T1055254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tosk |
E22786
|
entity |
| Predicate | geographicalDistributionRelativeToShkumbinRiver |
P2178
|
FINISHED |
| Object | south of the Shkumbin River |
—
|
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: south of the Shkumbin River | Statement: [Tosk, geographicalDistributionRelativeToShkumbinRiver, south of the Shkumbin River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicalDistributionRelativeToShkumbinRiver Context triple: [Tosk, geographicalDistributionRelativeToShkumbinRiver, south of the Shkumbin River]
-
A.
geographicDistribution
chosen
Indicates the spatial range or area over which something occurs, exists, or is found.
-
B.
hasCityOnRiver
Indicates that a city is located on or along the course of a particular river.
-
C.
locatedSouthWestOf
Indicates that one entity is positioned to the southwest of another entity, combining both a southern and western relative location.
-
D.
locatedInMountainRainShadowOf
Indicates that one location lies in the rain shadow of a mountain or mountain range, receiving reduced precipitation because the mountains block prevailing moisture-bearing winds.
-
E.
locatedAcrossRiverFrom
Indicates that one entity is situated on the opposite side of a river relative to another entity.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8d79268819080f3f3f497e91c58 |
completed | March 1, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69a4b731e25c8190b5ea8466648c2c9a |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.