Triple
T33116802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hairatan border crossing |
E847479
|
entity |
| Predicate | borderRiverCrossedBy |
P225
|
FINISHED |
| Object | Afghanistan–Uzbekistan Friendship Bridge |
—
|
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: Afghanistan–Uzbekistan Friendship Bridge | Statement: [Hairatan border crossing, borderRiverCrossedBy, Afghanistan–Uzbekistan Friendship Bridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderRiverCrossedBy Context triple: [Hairatan border crossing, borderRiverCrossedBy, Afghanistan–Uzbekistan Friendship Bridge]
-
A.
crossesBorderRiver
Indicates that one entity moves from one side of a border-defining river to the other, traversing the river that serves as a boundary.
-
B.
crossedByRiver
chosen
Indicates that a river passes across or through a specified area, feature, or route.
-
C.
borderedByCountryAcrossRiver
Indicates that one country shares a border with another country, with the boundary specifically formed or separated by a river.
-
D.
bordersAcrossRiver
Indicates that two regions or entities share a boundary with each other that is separated or defined by a river.
-
E.
borderTownAcrossBorder
Indicates that a town lies on one side of a border directly opposite or adjacent to a town on the other side of that border.
- 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_69f3495751a081909850af5843da40dc |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff255b84788190a94682f4efe1d0b8 |
completed | May 9, 2026, 12:15 p.m. |
| PD | Predicate disambiguation | batch_69ff24f3ab108190bb017a656cff3d82 |
completed | May 9, 2026, 12:13 p.m. |
Created at: May 1, 2026, 1:27 a.m.