Triple
T18067144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lika |
E432321
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Korenica
Korenica is a small town in central Croatia that serves as an administrative and service center near the Plitvice Lakes National Park.
|
E1311070
|
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: Korenica | Statement: [Lika, containsTown, Korenica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Korenica Context triple: [Lika, containsTown, Korenica]
-
A.
Koritnica
Koritnica is a mountain river in northwestern Slovenia known for its scenic gorge and as a left-bank tributary of the Soča (Isonzo) River.
-
B.
Kremenica
Kremenica is a village-level settlement located within the municipality of Barajevo in Serbia.
-
C.
Koritno
Koritno is a settlement in northwestern Slovenia that forms part of the scenic, tourism-focused area around the town of Bled.
-
D.
Grbavica
Grbavica is a neighborhood in Sarajevo, Bosnia and Herzegovina, known for its residential blocks and its association with local football culture.
-
E.
Dudinka
Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
- 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: Korenica Triple: [Lika, containsTown, Korenica]
Generated description
Korenica is a small town in central Croatia that serves as an administrative and service center near the Plitvice Lakes National Park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Korenica Target entity description: Korenica is a small town in central Croatia that serves as an administrative and service center near the Plitvice Lakes National Park.
-
A.
Koritnica
Koritnica is a mountain river in northwestern Slovenia known for its scenic gorge and as a left-bank tributary of the Soča (Isonzo) River.
-
B.
Kremenica
Kremenica is a village-level settlement located within the municipality of Barajevo in Serbia.
-
C.
Koritno
Koritno is a settlement in northwestern Slovenia that forms part of the scenic, tourism-focused area around the town of Bled.
-
D.
Grbavica
Grbavica is a neighborhood in Sarajevo, Bosnia and Herzegovina, known for its residential blocks and its association with local football culture.
-
E.
Dudinka
Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4cce97ce08190a2f8762ce545e091 |
completed | April 19, 2026, 12:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0397efbb688190bfb61a4d5d0ac73c |
completed | May 12, 2026, 9:13 p.m. |
| NEDg | Description generation | batch_6a039a7049a08190bb4a57bcb70eeae1 |
completed | May 12, 2026, 9:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a039aa1f0508190869a79e925ca4b2f |
completed | May 12, 2026, 9:24 p.m. |
Created at: April 10, 2026, 10:26 a.m.