Triple
T15924906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reçak |
E386181
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object |
Ferizaj
Ferizaj is a city in southern Kosovo known as an important regional economic and transportation hub.
|
E1185310
|
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: Ferizaj | Statement: [Reçak, nearbyCity, Ferizaj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ferizaj Context triple: [Reçak, nearbyCity, Ferizaj]
-
A.
Ferizli
Ferizli is a town and district located in Sakarya Province in the Marmara Region of northwestern Turkey.
-
B.
Dorćol
Dorćol is a historic and culturally vibrant neighborhood in central Belgrade, known for its mix of Ottoman and Austro-Hungarian heritage, riverside location, and lively cafés and nightlife.
-
C.
Tuzla
Tuzla is a major industrial and cultural city in northeastern Bosnia and Herzegovina, known for its salt lakes and long history of salt production.
-
D.
Tuzla
Tuzla is a coastal district on the Asian side of Istanbul known for its shipyards, marinas, and seaside residential areas.
-
E.
Trebinje
Trebinje is a historic town in southern Bosnia and Herzegovina, known for its Mediterranean climate, Ottoman-era architecture, and scenic location near the border with Croatia and Montenegro.
- 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: Ferizaj Triple: [Reçak, nearbyCity, Ferizaj]
Generated description
Ferizaj is a city in southern Kosovo known as an important regional economic and transportation hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ferizaj Target entity description: Ferizaj is a city in southern Kosovo known as an important regional economic and transportation hub.
-
A.
Ferizli
Ferizli is a town and district located in Sakarya Province in the Marmara Region of northwestern Turkey.
-
B.
Dorćol
Dorćol is a historic and culturally vibrant neighborhood in central Belgrade, known for its mix of Ottoman and Austro-Hungarian heritage, riverside location, and lively cafés and nightlife.
-
C.
Tuzla
Tuzla is a coastal district on the Asian side of Istanbul known for its shipyards, marinas, and seaside residential areas.
-
D.
Tuzla
Tuzla is a major industrial and cultural city in northeastern Bosnia and Herzegovina, known for its salt lakes and long history of salt production.
-
E.
Trebinje
Trebinje is a historic town in southern Bosnia and Herzegovina, known for its Mediterranean climate, Ottoman-era architecture, and scenic location near the border with Croatia and Montenegro.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1568424f08190bffe6ee465a0db9a |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5adcde88190ae2a845aaa9d31ac |
completed | May 9, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69ffb6c4a66c8190bba70da71c9ec576 |
completed | May 9, 2026, 10:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb7a373d88190a2fcf75022f3e161 |
completed | May 9, 2026, 10:39 p.m. |
Created at: April 10, 2026, 4:52 a.m.