Triple
T7211912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Čukarica |
E149423
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ostružnica
Ostružnica is a suburban neighborhood of Belgrade, Serbia, situated along the Sava River and known for its strategic transport links, including the Ostružnica Bridge.
|
E651132
|
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: Ostružnica | Statement: [Čukarica, contains, Ostružnica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ostružnica Context triple: [Čukarica, contains, Ostružnica]
-
A.
Ostružná
Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
-
B.
Pinezići
Pinezići is a small coastal village and tourist settlement on the Croatian island of Krk in the Adriatic Sea.
-
C.
Ravanica
Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
-
D.
Vejprnice
Vejprnice is a municipality and village in the Plzeň Region of the Czech Republic, located just west of the city of Plzeň.
-
E.
Fažana
Fažana is a coastal town in Croatia’s Istria region, known for its fishing heritage, tourism, and historical ties to the Istriot language.
- 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: Ostružnica Triple: [Čukarica, contains, Ostružnica]
Generated description
Ostružnica is a suburban neighborhood of Belgrade, Serbia, situated along the Sava River and known for its strategic transport links, including the Ostružnica Bridge.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ostružnica Target entity description: Ostružnica is a suburban neighborhood of Belgrade, Serbia, situated along the Sava River and known for its strategic transport links, including the Ostružnica Bridge.
-
A.
Ostružná
Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
-
B.
Pinezići
Pinezići is a small coastal village and tourist settlement on the Croatian island of Krk in the Adriatic Sea.
-
C.
Ravanica
Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
-
D.
Vejprnice
Vejprnice is a municipality and village in the Plzeň Region of the Czech Republic, located just west of the city of Plzeň.
-
E.
Fažana
Fažana is a coastal town in Croatia’s Istria region, known for its fishing heritage, tourism, and historical ties to the Istriot language.
- 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_69c687eca814819095abb52316b1af80 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e96f99088190a085476bcfca26fd |
completed | March 27, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cbf5edbc81908cb40a5253e98b68 |
completed | March 28, 2026, 12:39 p.m. |
| NEDg | Description generation | batch_69c7cfcd492c8190b089f6db2cd9f028 |
completed | March 28, 2026, 12:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7d02981a48190a5a8f3ddda2f21e9 |
completed | March 28, 2026, 12:57 p.m. |
Created at: March 27, 2026, 2:53 p.m.