Triple
T4629375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Libeskind |
E101174
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Łódź, Poland |
E15327
|
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: Łódź, Poland | Statement: [Daniel Libeskind, placeOfBirth, Łódź, Poland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Łódź, Poland Context triple: [Daniel Libeskind, placeOfBirth, Łódź, Poland]
-
A.
Łódź
chosen
Łódź is one of Poland’s largest cities, historically known as a major industrial and textile manufacturing center.
-
B.
Tychy, Poland
Tychy, Poland is an industrial city in the Silesian region known for its major automotive manufacturing plants and brewing industry.
-
C.
Lublin
Lublin is a historic city in eastern Poland known as a major cultural, academic, and economic center and for its significant role in Polish political history.
-
D.
Złoczów, Poland
Złoczów, Poland is a town in present-day Ukraine (historically part of Poland) known as the birthplace of Nobel Prize–winning chemist Roald Hoffmann.
-
E.
Popowo, Poland
Popowo, Poland is a small Polish village best known as the birthplace of former president and Solidarity leader Lech Wałęsa.
- 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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a300e6081909fa9f504aada33ea |
completed | March 20, 2026, 2:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfab4f4808190920e420f566dec9b |
completed | March 21, 2026, 1:56 a.m. |
Created at: March 20, 2026, 1:13 p.m.