Triple
T22640393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yisrael Lipkin |
E558808
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Zagare |
—
|
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: Zagare | Statement: [Yisrael Lipkin, birthPlace, Zagare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zagare Context triple: [Yisrael Lipkin, birthPlace, Zagare]
-
A.
Zagare
chosen
Zagare is a town in northern Lithuania known for its historic architecture, cherry festival, and location near the Latvian border.
-
B.
Zag
Zag is a small town in southern Morocco, located within the Guelmim-Oued Noun region near the edge of the Sahara Desert.
-
C.
Zardoz
Zardoz is a 1974 science fiction film directed by John Boorman, known for its surreal, dystopian vision and starring Sean Connery in one of his most unconventional roles.
-
D.
Zaar
Zaar is a West Chadic language spoken primarily in Bauchi State, Nigeria.
-
E.
Zagi
Zagi is a meticulously composed figurative painting by British artist Euan Uglow, exemplifying his precise, measured approach to depicting the human form.
- 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_69e24547f7fc819086e2c4ba3b979657 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f170116fe881908178cffef26e3ae7 |
completed | April 29, 2026, 2:42 a.m. |
Created at: April 17, 2026, 3:04 p.m.