Triple
T29568663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruschuk |
E753237
|
entity |
| Predicate | facesAcrossDanube |
P97845
|
FINISHED |
| Object | Giurgiu |
—
|
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: Giurgiu | Statement: [Ruschuk, facesAcrossDanube, Giurgiu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: facesAcrossDanube Context triple: [Ruschuk, facesAcrossDanube, Giurgiu]
-
A.
borderingCountryAcrossDanube
chosen
Indicates that one country shares a border with another country specifically across the Danube River.
-
B.
bordersAcrossRiver
Indicates that two regions or entities share a boundary with each other that is separated or defined by a river.
-
C.
locatedOppositeAcrossRhineFrom
Indicates that one entity is situated on the other side of the Rhine River directly facing or across from the referenced entity.
-
D.
hasEuroregion
Indicates a relationship where a geographic or administrative entity is part of, or associated with, a specific Euroregion.
-
E.
riverBankOnBudaSide
Indicates that the referenced river bank is located on the Buda side of the river.
- 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_69f0ef7fcb4881908a933110adb9bda1 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66d44be1c8190aa553786ef4ed1b1 |
completed | May 2, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 5:55 p.m.