Triple
T6895605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinhas Sapir |
E159163
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Suwałki |
E443345
|
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: Suwałki | Statement: [Pinhas Sapir, placeOfBirth, Suwałki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suwałki Context triple: [Pinhas Sapir, placeOfBirth, Suwałki]
-
A.
Suwałki
chosen
Suwałki is a city in northeastern Poland known for its cold climate, proximity to the Lithuanian border, and location within the historical region of Podlasie.
-
B.
Siedlce
Siedlce is a city in eastern Poland known as a local economic, cultural, and transportation hub.
-
C.
Świnoujście
Świnoujście is a Polish port city and seaside resort on the Baltic Sea, known for its wide beaches, spa facilities, and strategic location at the mouth of the Świna River.
-
D.
Kalisz
Kalisz is one of Poland’s oldest cities, located in the Greater Poland region and known for its historical architecture and cultural heritage.
-
E.
Wałcz
Wałcz is a town in northwestern Poland known for its lakes, forests, and role as a local administrative and cultural center.
- 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_69c6883568c8819081db6407e892cccc |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d933032c8190997d67a15897619b |
completed | March 27, 2026, 7:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87dfc46e08190bea27c11b987cb6d |
completed | April 10, 2026, 4:35 a.m. |
Created at: March 27, 2026, 2:24 p.m.