Triple
T13646958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herzegovina |
E326127
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Jablanica |
E629639
|
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: Jablanica | Statement: [Herzegovina, hasCity, Jablanica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jablanica Context triple: [Herzegovina, hasCity, Jablanica]
-
A.
Jablanica
chosen
Jablanica is a town in Bosnia and Herzegovina known for its location in the Neretva River valley and its historical World War II railway bridge.
-
B.
Mladenovac
Mladenovac is a suburban municipality and town located in the southern part of the City of Belgrade, Serbia.
-
C.
Zvornik
Zvornik is a historic town and municipality in northeastern Bosnia and Herzegovina, situated on the banks of the Drina River near the border with Serbia.
-
D.
Doboj
Doboj is a city in northern Bosnia and Herzegovina known as a key transport hub and strategic crossroads on the Bosna River.
-
E.
Čukarica
Čukarica is a municipality of Belgrade known for its mix of urban neighborhoods, industrial zones, and green areas along the Sava River.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc6073e888190965456a639839749 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6471ba348190a0cd1745daff6114 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 9, 2026, 9:52 p.m.