Triple
T20355290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ptuj Library |
E496628
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Ptuj |
—
|
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: Ptuj | Statement: [Ptuj Library, locatedIn, Ptuj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ptuj Context triple: [Ptuj Library, locatedIn, Ptuj]
-
A.
Ptuj
chosen
Ptuj is one of Slovenia’s oldest towns, renowned for its well-preserved medieval architecture and rich cultural heritage along the Drava River.
-
B.
Podhajce
Podhajce is a historic town in western Ukraine, formerly part of interwar Poland, known for its multicultural heritage and role as a regional center in Galicia.
-
C.
Telč
Telč is a historic Czech town renowned for its well-preserved Renaissance and Baroque square, which is listed as a UNESCO World Heritage Site.
-
D.
Gložan
Gložan is a village in the Vojvodina region of northern Serbia, known for its Slovak ethnic community and agricultural character.
-
E.
Ozalj
Ozalj is a historic town in central Croatia known for its medieval castle and picturesque setting near the confluence of the Kupa and Dobra rivers.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67853f10881908ecde94036804a8a |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:25 a.m.