Triple
T13347506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | powiat suski |
E317990
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Zawoja |
E317991
|
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: Zawoja | Statement: [powiat suski, hasSettlement, Zawoja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zawoja Context triple: [powiat suski, hasSettlement, Zawoja]
-
A.
Zawoja
chosen
Zawoja is a large village in southern Poland, known as a popular tourist and hiking base at the foot of Babia Góra in the Beskid Mountains.
-
B.
Skawa
Skawa is a river in southern Poland that flows through the Lesser Poland region before joining the Vistula River.
-
C.
Zaosie
Zaosie is a small village in present-day Belarus, best known as the birthplace of the Polish Romantic poet Adam Mickiewicz.
-
D.
Jaru
Jaru is a municipality in the Brazilian state of Rondônia, located in the northern region of the country within the Amazon basin.
-
E.
Morawa
Morawa is a small rural town in Western Australia known for its grain farming, wildflower displays, and role as a service centre for the surrounding Mid West agricultural region.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8b28e48190a23194e03a74b41b |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7397b871c819081272c48b3210e00 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:31 p.m.