Triple
T13602250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuźnica |
E324971
|
entity |
| Predicate | locatedBetween |
P1262
|
FINISHED |
| Object | Chałupy |
E90311
|
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: Chałupy | Statement: [Kuźnica, locatedBetween, Chałupy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chałupy Context triple: [Kuźnica, locatedBetween, Chałupy]
-
A.
Chałupy
chosen
Chałupy is a small Polish seaside village and popular windsurfing and kitesurfing spot on the Baltic coast.
-
B.
Czeladź
Czeladź is a historic industrial town in southern Poland, located in the Silesian metropolitan area near Katowice.
-
C.
Kuryłówka
Kuryłówka is a village in southeastern Poland, historically notable as the birthplace of pianist, composer, and statesman Ignacy Jan Paderewski.
-
D.
Szerzyny
Szerzyny is a village in southern Poland located within the administrative region of Lesser Poland Voivodeship.
-
E.
Chorkówka
Chorkówka is a village in southeastern Poland known historically as the place where pioneering oil industry chemist and pharmacist Ignacy Łukasiewicz spent his final years and died.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07ad3f48190a2173e42c5cfedb1 |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f92224c8190b66adef1291cd47f |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:49 p.m.