Triple
T22869007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Auerbach |
E567133
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Lanivtsi |
—
|
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: Lanivtsi | Statement: [Rachel Auerbach, placeOfBirth, Lanivtsi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lanivtsi Context triple: [Rachel Auerbach, placeOfBirth, Lanivtsi]
-
A.
Lanivtsi
chosen
Lanivtsi is a small town in western Ukraine known for its location within the historic region of Ternopil in Galicia.
-
B.
Loznitsa
Loznitsa is a small town and municipal center in northeastern Bulgaria known for its agricultural surroundings and local rural character.
-
C.
Lypovets
Lypovets is a town in central Ukraine historically known as a local administrative and trade center.
-
D.
Bezhitsa
Bezhitsa is a district of Bryansk in western Russia, historically known as an industrial town and railway hub.
-
E.
Terebovlia
Terebovlia is a historic town in western Ukraine known for its medieval fortress ruins and role as a regional cultural center.
- 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f0384a88190a0fbf57b5dca8d5a |
completed | April 29, 2026, 3:46 a.m. |
Created at: April 17, 2026, 3:38 p.m.