Triple
T14699905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krivichs |
E345267
|
entity |
| Predicate | majorSettlement |
P316
|
FINISHED |
| Object | Izborsk |
E1065988
|
NE 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: Izborsk | Statement: [Krivichs, majorSettlement, Izborsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Izborsk Context triple: [Krivichs, majorSettlement, Izborsk]
-
A.
Izborsk
chosen
Izborsk is an ancient Russian rural locality in Pskov Oblast, known as one of the oldest towns in Russia and for its well-preserved medieval fortress.
-
B.
Loznitsa
Loznitsa is a small town and municipal center in northeastern Bulgaria known for its agricultural surroundings and local rural character.
-
C.
Ilijaš
Ilijaš is a town and municipality in central Bosnia and Herzegovina, situated northwest of Sarajevo and known for its industrial heritage and surrounding hilly landscape.
-
D.
Jurjev
Jurjev is a historical name for the Estonian city of Tartu, reflecting its past under various regional powers.
-
E.
Dušica
Dušica was a medieval Serbian princess, the daughter of King Stefan Uroš III Dečanski of Serbia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb605f5948190ab6b20887c4b6833 |
completed | April 14, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde191ef6081908434db8d89ad38cb |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:28 a.m.