Triple
T20895976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HSW |
E514535
|
entity |
| Predicate | basedIn |
P40
|
FINISHED |
| Object | Stalowa Wola, Poland |
—
|
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: Stalowa Wola, Poland | Statement: [HSW, basedIn, Stalowa Wola, Poland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stalowa Wola, Poland Context triple: [HSW, basedIn, Stalowa Wola, Poland]
-
A.
Stalowa Wola
chosen
Stalowa Wola is an industrial city in southeastern Poland, historically known as a major center of heavy industry and steel production.
-
B.
Tychy, Poland
Tychy, Poland is an industrial city in the Silesian region known for its major automotive manufacturing plants and brewing industry.
-
C.
Kunowice, Poland
Kunowice, Poland is a village in western Poland near the German border, historically notable as the site of the 1759 Battle of Kunersdorf during the Seven Years' War.
-
D.
Gorzów Wielkopolski, Poland
Gorzów Wielkopolski is a city in western Poland, known as one of the two capitals of the Lubusz Voivodeship and an important regional industrial and cultural center.
-
E.
Zabkowice Slaskie, Poland
Ząbkowice Śląskie is a historic town in southwestern Poland’s Lower Silesia region, known for its medieval architecture and leaning tower.
- 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_69e0b4f7ebe48190952a85547a0f31a1 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6d06233588190942493b709e30820 |
completed | April 21, 2026, 1:18 a.m. |
Created at: April 16, 2026, 12:47 p.m.