Triple
T7670248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoran Janković |
E173728
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Janković |
E173728
|
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: Janković | Statement: [Zoran Janković, familyName, Janković]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Janković Context triple: [Zoran Janković, familyName, Janković]
-
A.
Zoran Janković
chosen
Zoran Janković is a Slovenian businessman and politician best known for serving as the long-time mayor of Ljubljana, the capital of Slovenia.
-
B.
Rajaković
Rajaković is a Serbian surname most notably associated with NBA coach Darko Rajaković.
-
C.
Mladić
Mladić is a Bosnian Serb surname most prominently associated with Ratko Mladić, the former military leader convicted of war crimes during the Bosnian War.
-
D.
Jadranka Kosor
Jadranka Kosor is a Croatian politician who served as the country’s first female prime minister and a leading figure in its center-right politics.
-
E.
Petar Nedeljković
Petar Nedeljković was a Yugoslav military officer who served as a commander in the Royal Yugoslav Army during the German invasion of Yugoslavia in World War II.
- 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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701c5538881908139881daf41151a |
completed | March 27, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a22442dc8190a26c966e7b06f1a9 |
completed | March 29, 2026, 3:53 a.m. |
Created at: March 27, 2026, 4 p.m.