Triple
T17449767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peace Monument near Prace |
E424883
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Prace |
—
|
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: Prace | Statement: [Peace Monument near Prace, locatedIn, Prace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prace Context triple: [Peace Monument near Prace, locatedIn, Prace]
-
A.
Prace
chosen
Prace is a small village in the South Moravian Region of the Czech Republic, known for its proximity to the historic town of Slavkov u Brna (Austerlitz).
-
B.
Work
Work is an abstract intellectual or artistic creation that exists independently of any particular physical or digital manifestation.
-
C.
Afwerki
Afwerki is the surname of Isaias Afwerki, the long-serving president and founding leader of Eritrea.
-
D.
Vueltabajo
Vueltabajo is a renowned tobacco-growing region in western Cuba, famous for producing some of the world’s finest cigar tobacco.
-
E.
Works
Works is the governmental portfolio responsible for public infrastructure development, construction, and maintenance, including roads, bridges, and public buildings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4513d00f48190802a3bdc8c8f4db5 |
completed | April 19, 2026, 3:51 a.m. |
Created at: April 10, 2026, 5:47 a.m.