Triple
T20206872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lezhë County |
E493374
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Rrëshen
Rrëshen is a small town in northern Albania that serves as an administrative and local economic center in the Mirditë region.
|
E1418326
|
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: Rrëshen | Statement: [Lezhë County, containsSettlement, Rrëshen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rrëshen Context triple: [Lezhë County, containsSettlement, Rrëshen]
-
A.
Dhërmi
Dhërmi is a coastal village in southern Albania known for its picturesque beaches, clear turquoise waters, and traditional stone architecture.
-
B.
Vurës
Vurës is an Oceanic language spoken on the island of Vanua Lava in northern Vanuatu.
-
C.
Tepelenë
Tepelenë is a small town in southern Albania, known historically as the birthplace of Ottoman Albanian ruler Ali Pasha and for its strategic position near the Vjosa River.
-
D.
Pejë
Pejë is a historic city in western Kosovo known for its Ottoman-era architecture and proximity to the Rugova Canyon in the Accursed Mountains.
-
E.
Rrogozhinë
Rrogozhinë is a small town and municipality in central Albania known as a local transport and agricultural hub within Tirana County.
- 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: Rrëshen Triple: [Lezhë County, containsSettlement, Rrëshen]
Generated description
Rrëshen is a small town in northern Albania that serves as an administrative and local economic center in the Mirditë region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rrëshen Target entity description: Rrëshen is a small town in northern Albania that serves as an administrative and local economic center in the Mirditë region.
-
A.
Dhërmi
Dhërmi is a coastal village in southern Albania known for its picturesque beaches, clear turquoise waters, and traditional stone architecture.
-
B.
Vurës
Vurës is an Oceanic language spoken on the island of Vanua Lava in northern Vanuatu.
-
C.
Tepelenë
Tepelenë is a small town in southern Albania, known historically as the birthplace of Ottoman Albanian ruler Ali Pasha and for its strategic position near the Vjosa River.
-
D.
Pejë
Pejë is a historic city in western Kosovo known for its Ottoman-era architecture and proximity to the Rugova Canyon in the Accursed Mountains.
-
E.
Rrogozhinë
Rrogozhinë is a small town and municipality in central Albania known as a local transport and agricultural hub within Tirana County.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66d922ebc8190ae012da8ceba74dd |
completed | April 20, 2026, 6:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0843ecd72c8190a605ccb8af032795 |
completed | May 16, 2026, 10:16 a.m. |
| NEDg | Description generation | batch_6a0845193350819088523da3087fe421 |
completed | May 16, 2026, 10:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0845e241048190ba7fb657d4dca3d7 |
completed | May 16, 2026, 10:24 a.m. |
Created at: April 11, 2026, 11:38 p.m.