Triple
T18815037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Croatian mainland |
E460113
|
entity |
| Predicate | containsRegion |
P285
|
FINISHED |
| Object | Zagorje |
—
|
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: Zagorje | Statement: [Croatian mainland, containsRegion, Zagorje]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zagorje Context triple: [Croatian mainland, containsRegion, Zagorje]
-
A.
Zagorje
chosen
Zagorje is a picturesque hilly region in northern Croatia known for its rural landscapes, thermal spas, and historic villages.
-
B.
Hlohovec
Hlohovec is a town in western Slovakia known for its historic castle, vineyards, and location on the Váh River.
-
C.
Žarnovica
Žarnovica is a small town in central Slovakia known for its location in the Hron River valley and its traditional industrial and mining background.
-
D.
Vysočany
Vysočany is a district in the northeastern part of Prague, Czech Republic, known for its mix of residential areas, industrial heritage, and modern commercial development.
-
E.
Ozerne
Ozerne is a settlement located on the shores of Lake Yalpuh in southwestern Ukraine.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3df2d3881909b336d813bbfd0aa |
completed | April 20, 2026, 3:56 a.m. |
Created at: April 10, 2026, 11:53 a.m.