Triple
T19564110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Albania |
E489533
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Tropojë
Tropojë is a mountainous municipality in northeastern Albania known for its rugged landscapes, proximity to the Albanian Alps, and traditional highland culture.
|
E1383085
|
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: Tropojë | Statement: [Northern Albania, contains, Tropojë]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tropojë Context triple: [Northern Albania, contains, Tropojë]
-
A.
Tismana
Tismana is a town in southwestern Romania known for its historic Tismana Monastery and scenic location in the foothills of the Southern Carpathians.
-
B.
Tigheci
Tigheci is a village located in the Leova District of Moldova.
-
C.
Tapolca
Tapolca is a small Hungarian town in the Transdanubian region, known for its scenic karst landscape and the famous Tapolca Lake Cave.
-
D.
Tirodi
Tirodi is a town in the Balaghat district of Madhya Pradesh, India, known primarily as a local commercial and administrative center for surrounding rural areas.
-
E.
Trisaia
Trisaia is an ENEA research center site in southern Italy known for its activities in energy, environmental, and nuclear technology research.
- 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: Tropojë Triple: [Northern Albania, contains, Tropojë]
Generated description
Tropojë is a mountainous municipality in northeastern Albania known for its rugged landscapes, proximity to the Albanian Alps, and traditional highland culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tropojë Target entity description: Tropojë is a mountainous municipality in northeastern Albania known for its rugged landscapes, proximity to the Albanian Alps, and traditional highland culture.
-
A.
Tismana
Tismana is a town in southwestern Romania known for its historic Tismana Monastery and scenic location in the foothills of the Southern Carpathians.
-
B.
Tigheci
Tigheci is a village located in the Leova District of Moldova.
-
C.
Tapolca
Tapolca is a small Hungarian town in the Transdanubian region, known for its scenic karst landscape and the famous Tapolca Lake Cave.
-
D.
Tirodi
Tirodi is a town in the Balaghat district of Madhya Pradesh, India, known primarily as a local commercial and administrative center for surrounding rural areas.
-
E.
Trisaia
Trisaia is an ENEA research center site in southern Italy known for its activities in energy, environmental, and nuclear technology research.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f76b220819096e668534c6bac67 |
completed | April 20, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a075787d15c8190b680c74afa7b2220 |
completed | May 15, 2026, 5:27 p.m. |
| NEDg | Description generation | batch_6a0758aeffb081909c100c7509010d54 |
completed | May 15, 2026, 5:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07598fdd908190b3f999b61447f8d2 |
completed | May 15, 2026, 5:36 p.m. |
Created at: April 10, 2026, 1:42 p.m.