Triple
T13181866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gorski Kotar |
E313748
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Fužine
Fužine is a small scenic town in Croatia’s mountainous Gorski Kotar region, known for its forests, lakes, and outdoor recreation.
|
E1026879
|
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: Fužine | Statement: [Gorski Kotar, hasTown, Fužine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fužine Context triple: [Gorski Kotar, hasTown, Fužine]
-
A.
Fuhse
Fuhse is a river in Lower Saxony, Germany, that flows through several towns before joining the Aller River.
-
B.
Ostružná
Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
-
C.
Faltine
Faltine are powerful extra-dimensional energy beings in the Marvel Universe, known for their immense mystical abilities and for producing entities like Dormammu.
-
D.
Fussa
Fussa is a city in western Tokyo, Japan, known for hosting Yokota Air Base and various Japan Air Self-Defense Force facilities.
-
E.
Fumusa
Fumusa is an Italian-origin surname most notably associated with American actor Dominic Fumusa.
- 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: Fužine Triple: [Gorski Kotar, hasTown, Fužine]
Generated description
Fužine is a small scenic town in Croatia’s mountainous Gorski Kotar region, known for its forests, lakes, and outdoor recreation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fužine Target entity description: Fužine is a small scenic town in Croatia’s mountainous Gorski Kotar region, known for its forests, lakes, and outdoor recreation.
-
A.
Fuhse
Fuhse is a river in Lower Saxony, Germany, that flows through several towns before joining the Aller River.
-
B.
Ostružná
Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
-
C.
Faltine
Faltine are powerful extra-dimensional energy beings in the Marvel Universe, known for their immense mystical abilities and for producing entities like Dormammu.
-
D.
Fussa
Fussa is a city in western Tokyo, Japan, known for hosting Yokota Air Base and various Japan Air Self-Defense Force facilities.
-
E.
Fumusa
Fumusa is an Italian-origin surname most notably associated with American actor Dominic Fumusa.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c490ed081908ea54edb25c3de90 |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5f307408190afd0df16a417c456 |
completed | May 3, 2026, 7:14 a.m. |
| NEDg | Description generation | batch_69f6f707d9e48190b772520ca9f4ac2c |
completed | May 3, 2026, 7:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f85149cc8190adf68387475d3286 |
completed | May 3, 2026, 7:25 a.m. |
Created at: April 9, 2026, 9:15 p.m.