Triple
T21276991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siim Kallas |
E524413
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kallas |
—
|
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: Kallas | Statement: [Siim Kallas, familyName, Kallas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kallas Context triple: [Siim Kallas, familyName, Kallas]
-
A.
Kallas
chosen
Kallas is an Estonian surname most prominently associated with Kaja Kallas, the Prime Minister of Estonia.
-
B.
Kall
Kall is a municipality in the Eifel region of North Rhine-Westphalia, Germany, known for its rural landscape and proximity to the town of Mechernich.
-
C.
Kall
Kall is a small river in Germany that serves as a tributary to the Rur.
-
D.
Rufe
Rufe is the Allied reporting name for the Nakajima A6M2-N, a World War II Japanese single-float seaplane fighter derived from the Mitsubishi Zero.
-
E.
Kalletal
Kalletal is a municipality in the Lippe district of North Rhine-Westphalia, Germany, known for its rural character and location in the Teutoburg Forest region.
- 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736583c08819087a4726538e703e2 |
completed | April 21, 2026, 8:33 a.m. |
Created at: April 16, 2026, 4:02 p.m.