Triple
T19657655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cugir River |
E471990
|
entity |
| Predicate | passesThroughSettlement |
P115562
|
FINISHED |
| Object | Cugir |
—
|
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: Cugir | Statement: [Cugir River, passesThroughSettlement, Cugir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cugir Context triple: [Cugir River, passesThroughSettlement, Cugir]
-
A.
Cugir
chosen
Cugir is a small industrial town in central Romania, known for its long-standing metalworking and arms manufacturing industries.
-
B.
Horezu
Horezu is a small Romanian town renowned for its traditional pottery and UNESCO-recognized ceramic craftsmanship.
-
C.
Lancrăm
Lancrăm is a village in Alba County, Romania, known as the birthplace of the poet and philosopher Lucian Blaga.
-
D.
Arbegnoch
Arbegnoch were Ethiopian resistance fighters who waged a guerrilla campaign against Italian occupation during the Second Italo-Ethiopian War and World War II.
-
E.
Ganthet
Ganthet is a wise and compassionate Guardian of the Universe from DC Comics, best known for mentoring Green Lanterns and challenging the rigid traditions of his fellow Guardians.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641475f408190bd42ef3f8d590719 |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:45 p.m.