Triple
T15330950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kupa |
E366528
|
entity |
| Predicate | flowsNear |
P350
|
FINISHED |
| Object | Črnomelj |
E617075
|
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: Črnomelj | Statement: [Kupa, flowsNear, Črnomelj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Črnomelj Context triple: [Kupa, flowsNear, Črnomelj]
-
A.
Črnomelj
chosen
Črnomelj is a historic town in southeastern Slovenia, known as a cultural center of the White Carniola region near the Croatian border.
-
B.
Zagorsk
Zagorsk is the former Soviet-era name of the Russian town now known as Sergiyev Posad, a major center of Orthodox Christianity northeast of Moscow.
-
C.
Perovo
Perovo is a Moscow Metro station serving the Kalininsko–Solntsevskaya Line in the Perovo District of eastern Moscow.
-
D.
Korazin
Korazin is an ancient Galilean town mentioned in the New Testament as one of the places where Jesus performed miracles yet rebuked its inhabitants for their lack of repentance.
-
E.
Sisak
Sisak is a historic Croatian city located at the confluence of the Kupa, Sava, and Odra rivers, known as an important industrial and transport hub.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e0161ac8190aa1d52c063c02ad0 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8b1b2d08190a158bf65535ad750 |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:17 a.m.