Triple
T6869237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neretva |
E158495
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Jablanica
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.
|
E629639
|
NE FINISHED |
How this triple was built (4 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: [Neretva, flowsThrough, Jablanica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jablanica Context triple: [Neretva, flowsThrough, Jablanica]
-
A.
Mladenovac
Mladenovac is a suburban municipality and town located in the southern part of the City of Belgrade, Serbia.
-
B.
Čukarica
Čukarica is a municipality of Belgrade known for its mix of urban neighborhoods, industrial zones, and green areas along the Sava River.
-
C.
Konjic
Konjic is a historic town in central Bosnia and Herzegovina known for its scenic setting on the Neretva River and its Ottoman-era stone bridge.
-
D.
Loznica
Loznica is a town in western Serbia near the Drina River, known as a regional center with historical and cultural significance.
-
E.
Trebević
Trebević is a prominent mountain overlooking Sarajevo in Bosnia and Herzegovina, known for its scenic views, hiking trails, and remnants of the 1984 Winter Olympics bobsleigh track.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jablanica Triple: [Neretva, flowsThrough, Jablanica]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jablanica Target entity description: 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.
-
A.
Mladenovac
Mladenovac is a suburban municipality and town located in the southern part of the City of Belgrade, Serbia.
-
B.
Čukarica
Čukarica is a municipality of Belgrade known for its mix of urban neighborhoods, industrial zones, and green areas along the Sava River.
-
C.
Konjic
Konjic is a historic town in central Bosnia and Herzegovina known for its scenic setting on the Neretva River and its Ottoman-era stone bridge.
-
D.
Loznica
Loznica is a town in western Serbia near the Drina River, known as a regional center with historical and cultural significance.
-
E.
Trebević
Trebević is a prominent mountain overlooking Sarajevo in Bosnia and Herzegovina, known for its scenic views, hiking trails, and remnants of the 1984 Winter Olympics bobsleigh track.
- F. None of above. chosen
Provenance (5 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_69c68831e3648190a643c328122e4d43 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8a916a88190b81551731dff2898 |
completed | March 27, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7511ada2481909491b8f9bd3ead91 |
completed | March 28, 2026, 3:55 a.m. |
| NEDg | Description generation | batch_69c7523737e48190b2ad3e7bea02878d |
completed | March 28, 2026, 3:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c752eb3e1c8190bad35727e573c41f |
completed | March 28, 2026, 4:02 a.m. |
Created at: March 27, 2026, 2:22 p.m.